| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Blind Denoising Method for Noisy Rotating Machinery Vibration Signals
|
Yang, Daoguang
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|
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58 |
4 |
p. 740-745
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artikel
|
| 2 |
Accommodating sensor faults in wave energy optimal control
|
Papini, Guglielmo
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58 |
4 |
p. 586-591
|
artikel
|
| 3 |
Active Fault Detection Based on Tensor Train Decomposition ⁎ ⁎ The work was supported by the Czech Science Foundation under grant 22-11101S.
|
Punčochář, Ivo
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58 |
4 |
p. 676-681
|
artikel
|
| 4 |
Active Thruster Fault Diagnosis for an Overactuated Autonomous Surface Vessel
|
Tsolakis, Anastasios
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|
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58 |
4 |
p. 43-48
|
artikel
|
| 5 |
Actuator Fault Tolerant Control for a Remotely Operated Vehicle based on Adaptive Extended Kalman Filter
|
Baldini, Alessandro
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58 |
4 |
p. 61-66
|
artikel
|
| 6 |
Adaptive fault-tolerant tracking control for MIMO nonlinear systems with time-varying full state constraints ⁎ ⁎ This work was supported by the National Natural Science Foundation of China (No. 62373189, 62188101, 62020106003), and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX20 0209).
|
Chao, Daikun
|
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58 |
4 |
p. 455-460
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artikel
|
| 7 |
Adaptive Filtering Against Sensor/Actuator Faults
|
Hajiyev, C.
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58 |
4 |
p. 336-341
|
artikel
|
| 8 |
Adaptive Resilient Control for a Class of Strict-Feedback Nonlinear Systems Under Replay Attacks ⁎ ⁎ This study was supported by the National Science Fund for Distinguished Young Scholars of China (62225303), Fundamental Research Funds for the Central Universities (buctrc202201), the National Natural Science Fund Youth Program of China (62303038), Postdoctoral research start-up fund (BH2319).
|
He, Wenjing
|
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58 |
4 |
p. 514-519
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artikel
|
| 9 |
Adding Smart Functions to an Industry-grade Transducer for Process Fault Detection without Modifying Footprint
|
He, A.
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58 |
4 |
p. 574-579
|
artikel
|
| 10 |
A Deductive Fault Analysis Method Based on Hypergraphs
|
Vitucci, Carlo
|
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58 |
4 |
p. 378-383
|
artikel
|
| 11 |
Aeroengine Actuator Fault Detection and Estimation Via Combined Model Observers
|
Al Seiari, Sara
|
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58 |
4 |
p. 121-125
|
artikel
|
| 12 |
A Flexible Data-Driven Prognostics Model Using System Performance Metrics
|
Diaz-Gonzalez, Abel
|
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58 |
4 |
p. 222-227
|
artikel
|
| 13 |
Ageing in Process Industry: Identification of Material Degradation from Past Accidents Analysis
|
Vitale, Morena
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58 |
4 |
p. 568-573
|
artikel
|
| 14 |
A Kernel-Based Approach to Data-Driven Actuator Fault Estimation ⁎⁎ ⁎ This work was supported by Digital Twin project with project number P18-03 of the research programme TTW-Perspective which is (partly) financed by the Dutch Research Council (NWO).
|
Sheikhi, Mohammad Amin
|
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58 |
4 |
p. 318-323
|
artikel
|
| 15 |
A modeling approach of EFT faults on in-vehicle communication protocols supported by FTA analysis
|
Pohren, Daniel H.
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58 |
4 |
p. 580-585
|
artikel
|
| 16 |
A Multiple Sensor Fault Diagnosis Scheme for Autonomous Surface Vessels ⁎ ⁎ The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955768 (MSCA-ETN AUTOBarge) and grant agreement No. 101096923 (SEAMLESS Project). This publication reflects only the authors’ view, exempting the European Union and the granting authority from any liability. Project websites:http://etn-autobarge.eu/, https://www.seamless-project.eu/. This research is also supported by the ResearchLab Autonomous Shipping (RAS) of TU Delft.
|
Dhyani, Abhishek
|
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58 |
4 |
p. 31-36
|
artikel
|
| 17 |
An Approach to Secret Sharing Based Secure Remote Monitoring
|
Sun, Jie
|
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58 |
4 |
p. 252-257
|
artikel
|
| 18 |
An Integrated Method for Early and Robust Detection of Oscillatory Failure Cases in Flight Control Systems
|
Yu, Jingfei
|
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58 |
4 |
p. 115-120
|
artikel
|
| 19 |
An integrated monitoring system based on deep learning tools for industrial process ⁎ ⁎ The authors acknowledge the financial support provided by Project No. PN223LH004-023, National Program of Research and Innovation ARIA from the Ministry of Science, Technology and Environment (CITMA), Cuba.
|
Rodríguez-Ramos, Adrián
|
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58 |
4 |
p. 168-173
|
artikel
|
| 20 |
An Observer-Based Approach to Mitigation of Integrity Cyberattacks
|
Zhou, Liutao
|
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58 |
4 |
p. 520-525
|
artikel
|
| 21 |
A novel dynamical model for diagnosis, prognosis and health-aware control of Lithium-ion batteries
|
Martinez, John J.
|
|
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58 |
4 |
p. 658-663
|
artikel
|
| 22 |
Anticipation, earliness, alarm cardinality: A new metric for industrial time-series anomaly detection
|
Dion, Raphaël
|
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|
58 |
4 |
p. 192-197
|
artikel
|
| 23 |
Application of Digital Signature to Attack Detection in a DC Motor Control System
|
Barbosa, Jose
|
|
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58 |
4 |
p. 723-728
|
artikel
|
| 24 |
A Shape-Based Monitoring Method for Variable Trajectories of Finishing Mill Processes
|
Wang, Yilin
|
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58 |
4 |
p. 264-269
|
artikel
|
| 25 |
A Stackelberg Differential Game-based Optimal Fault-tolerant Control Method for Over-actuated Systems ⁎ ⁎ This work was supported by National Natural Science Foundation of China (62073165, 62233009).
|
Ni, Yuan
|
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58 |
4 |
p. 288-293
|
artikel
|
| 26 |
A step towards implementation of state observers in industrial aluminium smelters
|
Mattioni, Andrea
|
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58 |
4 |
p. 396-401
|
artikel
|
| 27 |
A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines
|
Youssef, A.
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58 |
4 |
p. 55-60
|
artikel
|
| 28 |
Attack detection in cyber-physical systems via nullspace-based filter designs
|
Ossmann, Daniel
|
|
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58 |
4 |
p. 526-531
|
artikel
|
| 29 |
Attack Isolation in a Water Treatment Plant
|
Jia, Mengsen
|
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58 |
4 |
p. 496-501
|
artikel
|
| 30 |
A Two-Stage Machine Learning-Aided Approach for Quench Identification at the European XFEL
|
Boukela, L.
|
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58 |
4 |
p. 402-407
|
artikel
|
| 31 |
A unified modelling of dead-zone, dead-band, hysteresis, and other faulty local behaviors of actuators and sensors
|
Bainier, Gustave
|
|
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58 |
4 |
p. 682-687
|
artikel
|
| 32 |
A Virtual Actuator and Sensor Approach for Event-Triggered Fault-Tolerant Control of Multi-Agent Systems ⁎ ⁎ This work was supported by the China Scholarship Council under Grant 202206020096.
|
Wang, Zeyuan
|
|
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58 |
4 |
p. 282-287
|
artikel
|
| 33 |
A Zonotopic FDI Approach with LPV-based EKF in Autonomous Vehicles ⁎ ⁎ This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SaCoAV (ref. PID2020-114244RB-I00). It is also partially funded by Renault Group through the Industrial Doctorate ”Safety of Autonomous Vehicles” (ref. C12507).
|
Conejo, Carlos
|
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58 |
4 |
p. 443-448
|
artikel
|
| 34 |
CNN-based Temperature Dynamics Approximation for Burning Rooms
|
Liebert, Artur
|
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58 |
4 |
p. 420-425
|
artikel
|
| 35 |
Comparison of Transfer Learning Techniques for Building Energy Forecasting
|
Das Sharma, Shansita
|
|
|
58 |
4 |
p. 180-185
|
artikel
|
| 36 |
Consensus Control for T-S Fuzzy Multi-Aagent Systems with Parametric Uncertainties
|
Cherigui, Aïoub
|
|
|
58 |
4 |
p. 705-710
|
artikel
|
| 37 |
Constrained Multi-Output Gaussian Process Regression for Data Reconciliation
|
Horak, W.
|
|
|
58 |
4 |
p. 324-329
|
artikel
|
| 38 |
Contents
|
|
|
|
58 |
4 |
p. i-vii
|
artikel
|
| 39 |
Current Sensor Fault Diagnosis of DFIG Wind Turbines Using an Extended Kalman Filter Observer: Experimental Validation
|
Abbas, Mohammed
|
|
|
58 |
4 |
p. 610-615
|
artikel
|
| 40 |
Cyber-attack and Fault Detection using a Digital Twin of the Controller Software ⁎ ⁎ This work was supported by the CRUCIAL project, funded by Innovation Fund Denmark, grant number 1063-00001B.
|
Kallesøe, Carsten Skovmose
|
|
|
58 |
4 |
p. 97-102
|
artikel
|
| 41 |
Data-Driven Soft Sensor Based on Sparse Relational Graph Attention Network for Hot Strip Mill Process
|
Li, Kang
|
|
|
58 |
4 |
p. 372-377
|
artikel
|
| 42 |
Data Preprocessing for Utilizing Simulation Models for ML-based Diagnosis
|
Kaufmann, David
|
|
|
58 |
4 |
p. 19-24
|
artikel
|
| 43 |
Diagnosis driven Anomaly Detection for Cyber-Physical Systems ⁎ ⁎ This research paper is funded by dtec.bw and the European Union.
|
Steude, Henrik Sebastian
|
|
|
58 |
4 |
p. 13-18
|
artikel
|
| 44 |
Discret2Di - Deep Learning based Discretization for Model-based Diagnosis
|
Moddemann, Lukas
|
|
|
58 |
4 |
p. 640-645
|
artikel
|
| 45 |
Discrete-Time Sliding Mode Control Based on Improverd Decoupled Disturbance Compensator ⁎ ⁎ This work was supported by the National Natural Science Foundation of China under Grants (61773146, U22A2044, 61973102, 62303144).
|
Bai, Jianjun
|
|
|
58 |
4 |
p. 432-436
|
artikel
|
| 46 |
Distributed data-driven fault detection for industrial interconnected systems with unknown topology structure ⁎ ⁎ This work was supported in part by the National Natural Science Foundation of China under grant 62373012, the National Foreign Experts Program of China under grant G2023405027L, the Project for Outstanding Youth Team of USTB (Fundamental Research Funds for the Central Universities) under grant FRF-EYIT-23-06.
|
Gao, Jingjing
|
|
|
58 |
4 |
p. 670-675
|
artikel
|
| 47 |
Dynamic Reconstruction Feature-Based Graph Attention Networks for Semi-Supervised Process Fault Diagnosis
|
Yan, Peng
|
|
|
58 |
4 |
p. 198-203
|
artikel
|
| 48 |
EKF-based algorithm for two-simultaneous-leak diagnosis in pipelines
|
Delgado-Aguiñaga, Jorge Alejandro
|
|
|
58 |
4 |
p. 85-90
|
artikel
|
| 49 |
End of Life Detection of Li-ion Primary Cell Battery Based on Closed-Loop Voltage and Ambient Temperature
|
Aboulfadl, Rania
|
|
|
58 |
4 |
p. 216-221
|
artikel
|
| 50 |
Enhancing Fault Diagnosis in Process Industries with Internal Variables of Model Predictive Control
|
Diallo, Abdoul Rahime
|
|
|
58 |
4 |
p. 538-543
|
artikel
|
| 51 |
Enhancing Fault Diagnosis of Uncertain Grid-Connected Photovoltaic Systems using Deep GRU-based Bayesian optimization
|
Yahyaoui, Zahra
|
|
|
58 |
4 |
p. 449-454
|
artikel
|
| 52 |
ESO-based Fault-Tolerant Funnel Heading Control of Surface Vessels
|
Shahnazi, Reza
|
|
|
58 |
4 |
p. 37-42
|
artikel
|
| 53 |
Estimation of cornering stiffness using ultra-local model and LPV-based observer
|
Fényes, Dániel
|
|
|
58 |
4 |
p. 437-442
|
artikel
|
| 54 |
Evaluating the effect of control gains on wind turbine drive-train deterioration: An experimental study
|
Fandiño, Elena Romero
|
|
|
58 |
4 |
p. 616-621
|
artikel
|
| 55 |
Fast Trend Extraction of Industrial Process Data Based on Deep Bidirectional LSTM
|
Liu, Ju
|
|
|
58 |
4 |
p. 484-489
|
artikel
|
| 56 |
Fault Detection Statistics in the Presence of Additive Measurement Errors
|
Hajiyev, C.
|
|
|
58 |
4 |
p. 342-347
|
artikel
|
| 57 |
Fault Diagnosability Analysis of Multi-Mode Systems
|
Hashemniya, Fatemeh
|
|
|
58 |
4 |
p. 210-215
|
artikel
|
| 58 |
Fault Diagnosis and Identification in AGVs System
|
Bertoli, Annalisa
|
|
|
58 |
4 |
p. 246-251
|
artikel
|
| 59 |
Fault Diagnosis of PEM Fuel Cells: An Assessment of two Bayes’ Filters ⁎ ⁎ Part of EMPOWER Project funded via ”Innovative University”, a joint initiative by the Federal Government and the German Länder.
|
Allam, A.
|
|
|
58 |
4 |
p. 473-478
|
artikel
|
| 60 |
Fault Diagnosis using Interval Data-driven LPV Observers and Structural Analysis
|
Fang, Xin
|
|
|
58 |
4 |
p. 25-30
|
artikel
|
| 61 |
Fault Estimation Observers for the Vehicle Suspension with a Varying Chassis Mass
|
Bao Tran, Gia Quoc
|
|
|
58 |
4 |
p. 138-143
|
artikel
|
| 62 |
Fault tolerant control of a bio-inspired UAV using sliding mode
|
Ma, Tianle
|
|
|
58 |
4 |
p. 234-239
|
artikel
|
| 63 |
Fault-tolerant Safe Control for Water Networks: An Interconnected Switched System Approach ⁎ ⁎ This paper was supported in part by funding from the European Research Council (ERC) under grant agreement No. 951424 (Water-Futures) and the European Union’s Horizon 2020 research and Innovation programme under grant agreement No. 739551 (KIOS CoE); in part by the National Natural Science Foundation of China under grant agreement No. 62303218, the China Postdoctoral Science Foundation under grant agreement No. 2022M721607, and the Jiangsu Funding Program for Excellent Postdoctoral Talent under grant agreement No. 2023ZB573.
|
Meng, Qingkai
|
|
|
58 |
4 |
p. 294-299
|
artikel
|
| 64 |
Finite-frequency fuzzy fault-tolerant static output feedback H ∞ control for Diesel engine air-path system
|
El-Amrani, A.
|
|
|
58 |
4 |
p. 693-698
|
artikel
|
| 65 |
Friction Estimation for Condition Monitoring of Wind Turbine Hydraulic Pitch System ⁎ ⁎ This research was funded by The Danish Energy Technology Development and Demonstration Programm (EUDP) through the project: “Decreased Cost of Energy (CoE) from wind turbines by reducing pitch system faults”, grant number 64022-1058. The authors much appreciate this support.
|
Dallabona, Alessio
|
|
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58 |
4 |
p. 598-603
|
artikel
|
| 66 |
Fuel injection fault diagnosis using structural analysis and data-driven residuals ⁎ ⁎ This work is partially sponsored by ELLIIT.
|
Allansson, Niklas
|
|
|
58 |
4 |
p. 360-365
|
artikel
|
| 67 |
Harmonic Signature Extraction in Motor Fault Detection via a Weighted Sparsity-driven and Graph-based Model
|
Tsuruta, Shinya
|
|
|
58 |
4 |
p. 734-739
|
artikel
|
| 68 |
Hierarchical Fault-Tolerant Coverage Control for an Autonomous Aerial Agent
|
Papaioannou, Savvas
|
|
|
58 |
4 |
p. 532-537
|
artikel
|
| 69 |
Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes
|
Frey, Christian W.
|
|
|
58 |
4 |
p. 634-639
|
artikel
|
| 70 |
Hydrogen rate prediction in natural-gas pipes supplying industrial machines in the frame of power-to-gas technology
|
Djeziri, Mohand
|
|
|
58 |
4 |
p. 479-483
|
artikel
|
| 71 |
Identification Algorithm for Simultaneous Leaks in a Pipeline ⁎ ⁎ This work is supported by DGAPA-UNAM (IT100122 and IT100424) and CONAHCyT (CVU 859398).
|
Peralta, Jesús
|
|
|
58 |
4 |
p. 73-78
|
artikel
|
| 72 |
Identification of relevant symptoms of performance degradation in industrial machines
|
Boni, P.
|
|
|
58 |
4 |
p. 467-472
|
artikel
|
| 73 |
Improving residual robustness to noise for fault localization in a Y-shaped network
|
Abdel Karim, Abdel Karim
|
|
|
58 |
4 |
p. 354-359
|
artikel
|
| 74 |
Intelligent monitoring and optimal control of HVAC system and its cloud-edge implementation
|
Deng, Qiao
|
|
|
58 |
4 |
p. 414-419
|
artikel
|
| 75 |
Interval Observer Design for Fault Diagnosis
|
Zhirabok, Alexey
|
|
|
58 |
4 |
p. 688-692
|
artikel
|
| 76 |
Inverse PageRank-Based Fault Propagation Analysis of Production Lines Under Multiple Uncertain Performance Indicators
|
Huang, Shoujin
|
|
|
58 |
4 |
p. 300-305
|
artikel
|
| 77 |
Kernel Principal Component Analysis Improvement based on Data-Reduction via Class Interval
|
Habib Kaib, Mohammed Tahar
|
|
|
58 |
4 |
p. 390-395
|
artikel
|
| 78 |
Kullback–Leibler Divergence-Based Tuning of Kalman Filter for Bias Injection Attacks in an Artificial Pancreas System
|
Tosun, Fatih Emre
|
|
|
58 |
4 |
p. 508-513
|
artikel
|
| 79 |
Leak detection for household pipelines based on a smart valve with single pressure and flow sensors
|
Cesani, D.
|
|
|
58 |
4 |
p. 408-413
|
artikel
|
| 80 |
Leak localization in an urban water distribution network using a LSTM deep neural network
|
Gómez-Coronel,, L.
|
|
|
58 |
4 |
p. 79-84
|
artikel
|
| 81 |
Learning-based MPC with uncertainty estimation for resilient microgrid energy management ⁎ ⁎ This work has been supported by the UK Engineering and Physical Sciences Research Council (grant reference: EP/W024411/1). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. Martin Ferianc was sponsored through a scholarship from the Institute of Communications and Connected Systems at UCL.
|
Casagrande, Vittorio
|
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|
58 |
4 |
p. 556-561
|
artikel
|
| 82 |
Learning System Descriptions for Cyber-Physical Systems
|
Diedrich, Alexander
|
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|
58 |
4 |
p. 628-633
|
artikel
|
| 83 |
Making Systems Fail-Aware: A Semi-Supervised Machine Learning Approach for Identifying Failures by Learning the Correct Behavior of a System
|
Muehlburger, Herbert
|
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|
58 |
4 |
p. 7-12
|
artikel
|
| 84 |
Modbus Vulnerability: Hard-to-Detect Sabotage Scenario ⁎ ⁎ This work was funded by Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme.
|
Bartyś, Michał
|
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58 |
4 |
p. 502-507
|
artikel
|
| 85 |
Model-based Head Losses Estimation for Hydropower Plants
|
Alonso, Augustin
|
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|
58 |
4 |
p. 490-495
|
artikel
|
| 86 |
Model-Based Sensor Fault Detection and Diagnosis in Closed-Loop Power Converters for Electric Vehicles
|
Ajra, Youssef O.
|
|
|
58 |
4 |
p. 366-371
|
artikel
|
| 87 |
Model Predictive Control for Tumor Growth: Detection of Deviations and Therapeutic Implications ⁎ ⁎ This work has received funding from the project C3PO-R2D2 (Grant PID2020-119476RB-I00 funded by MCIN/AEI/ 10.13039/501100011033) and Grant PID2019-104149RB-I00 funded by MCIN/AEI/10.13039/501100011033 and project PID2022-142069OB-I00
|
Hernández-Rivera, Andrés
|
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58 |
4 |
p. 550-555
|
artikel
|
| 88 |
Mono camera-based GPS spoofing detection for aerial vehicles
|
Petro, Peter
|
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|
58 |
4 |
p. 126-131
|
artikel
|
| 89 |
Multi-Modal Self-Supervised Learning for Cross-Domain One-Shot Bearing Fault Diagnosis
|
Chen, Xiaohan
|
|
|
58 |
4 |
p. 746-751
|
artikel
|
| 90 |
Neural Networks for Offshore Wind Turbine Converter Failure Prognosis
|
Moros, D.
|
|
|
58 |
4 |
p. 592-597
|
artikel
|
| 91 |
Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks ⁎ ⁎ The authors would like to thank the Spanish national project Project L-BEST under Grant PID2020-115905RB-C21 funded by MCIN/ AEI /10.13039/501100011033. This work was also supported by a grant of the Romanian Ministry of Research, Innovation and Digitization, CCCDI - UEFISCDI, project number PN-III-P2-2.1-PED-2021-1626, within PNCDI III and by the GAR2023 Research Grant funded and managed by the Patrimony Foundation (Fundatia ”Patrimoniu”) of the Romanian Academy, from the Recurrent Fund of Donors, Contract No. 260/28.11.2023.
|
Romero-Ben, Luis
|
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58 |
4 |
p. 67-72
|
artikel
|
| 92 |
On the problem of on-board risk assessment for railway hunting: An exploratory study ⁎ ⁎ This study has been funded by the Hellenic Foundation for Research and Innovation (HFRI) under the 3rd Call for HFRI PhD Fellowships (Fellowship Number 6803).
|
Kritikakos, Kyriakos
|
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58 |
4 |
p. 144-149
|
artikel
|
| 93 |
Optical flow-based vertical angular rate fault detection on UAVs
|
Jevuczo, Gabor
|
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58 |
4 |
p. 109-114
|
artikel
|
| 94 |
Optimal fault tolerant control strategy of a continuous fermentative bioprocess for biogas production
|
Gurubel Tun, Kelly Joel
|
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|
58 |
4 |
p. 717-722
|
artikel
|
| 95 |
Physics-defined HMM model for Reusable LPRE Bearing Remaining Useful Life Estimation ⁎ ⁎ This work is co-founded by CNES and the Region of Normandy.
|
Galli, Federica
|
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58 |
4 |
p. 162-167
|
artikel
|
| 96 |
Privacy Preserving Approximated Optimal Control of Pasteurization Unit Using Homomorphic Encryption
|
Dzurková, Diana
|
|
|
58 |
4 |
p. 544-549
|
artikel
|
| 97 |
RAPM-Based Selective Preventive Maintenance to Improve Availability for Series-Parallel Systems
|
Liao, Jing
|
|
|
58 |
4 |
p. 276-281
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| 98 |
Resilience Metrics in Power & Control Systems: Comparative Analysis
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Ghanbari, Mohammad
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58 |
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p. 699-704
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| 99 |
RETRACTED: Data–Driven Adaptive Fault–Tolerant Control for Floating Offshore Wind Turbines
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Lam, Yat Ping
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58 |
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p. 306-311
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| 100 |
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems ⁎ ⁎ This work was supported in part by the Leverhulme Trust Early Career Fellowship under Award ECF-2021-517, and in part by the UK Royal Society International Exchanges Programme under Award IES\R3\223168. Xianxian Zhao was supported by the SEAI (Sustainable Energy Authority of Ireland) under RD&D Award 22\RDD\776.
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Lan, Jianglin
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58 |
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p. 258-263
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artikel
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| 101 |
Safe and Fault Tolerant Control of Industrial differential Drive Vehicles
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Racanelli, Vito Andrea
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58 |
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p. 150-155
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artikel
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| 102 |
Safe vehicle motion design with learning for moving in environment with uncertainties ⁎ ⁎ The paper was partially funded by the National Research, Development and Innovation Ofce (NKFIH) under OTKA Grant Agreement No. K 135512. The research was also supported by the National Research, Development and Innovation Ofce through the project ”Cooperative emergency trajectory design for connected autonomous vehicles” (NKFIH: 2019-2.1.12-TÉT VN).
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Tompos, Dénes
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58 |
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p. 228-233
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artikel
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| 103 |
Scalable Data-based Diagnostic Concept -Introduction and application in automotive field
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Schmitz, Andreas
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58 |
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p. 240-245
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artikel
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| 104 |
Self-Supervised Graph Structure Learning for Cyber-Physical Systems
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Augustin, Jan Lukas
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58 |
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p. 204-209
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artikel
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| 105 |
Sensor Set Decomposition for Enhanced Distributed Sensor Fault Isolability of Marine Propulsion Systems ⁎ ⁎ This publication is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water & Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).
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Kougiatsos, Nikos
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58 |
4 |
p. 49-54
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artikel
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| 106 |
Set-based Estimation of Battery End of Discharge for Electric Vehicles ⁎ ⁎ This work has been partially founded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SaCoAV (ref. MINECO PID2020-114244RB-I00) and by the Chinese Scholarship Council (CSC) under grant (202006120006).
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Zhang, Shuang
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58 |
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p. 132-137
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artikel
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| 107 |
Simultaneously Identifying the System Dynamics and Fault Isolation for Air Data Sensor Failures: A Convex Approach
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Noom, J.
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58 |
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p. 103-108
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artikel
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| 108 |
Spectral conditioning within the energy graph-based visualisation fault detection method
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Wolmarans, Wikus
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58 |
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p. 330-335
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artikel
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| 109 |
Stacked AutoEncoder based diagnosis applied on a Solar Photovoltaic System
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Bougoffa, Mouaad
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58 |
4 |
p. 384-389
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artikel
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| 110 |
Structural analysis of a rocket’s multi-engine propulsion cluster for fault detection and isolation ⁎ ⁎ This study is co-funded by CNES and ONERA in the frame of the ONERA-CNES Common Interest Program about Reusable Launch Vehicles.
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Murata, Renato
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58 |
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p. 348-353
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artikel
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| 111 |
Sustainability in Semiconductor Production via Interpretable and Reliable Predictions ⁎ ⁎ This research was supported by Innosuisse - Swiss Innovation Agency, Innosuisse Grant no: 51514.1 IP-ENG, entitled PreTune, Predictive Process Tuning by multi-perspective data analysis using a Digital Twin in collaboration with Hitachi Energy Switzerland.
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Fathi, Kiavash
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58 |
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p. 174-179
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artikel
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| 112 |
Sustainable supply chain control strategies for the natural stone market
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Azevedo, Elen
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58 |
4 |
p. 562-567
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artikel
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| 113 |
Switching LPV Approach for Analysis and Control of TCP-based Cyber-Physical Systems under DoS Attack
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Barchinezhad, Soheila
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58 |
4 |
p. 711-716
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artikel
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| 114 |
Synergetic Decomposition of Input-output Dependency for Control System Intelligent Monitoring: A Perspective from Information Theory
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Chen, Xu
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58 |
4 |
p. 312-317
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artikel
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| 115 |
Synthetic Generation of Streamed and Snapshot Data for Predictive Maintenance
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Safdari, Arezou
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58 |
4 |
p. 270-275
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artikel
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| 116 |
System Identification for Battery State Prediction and Lifespan Estimation
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Li, Chenyi
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58 |
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p. 186-191
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artikel
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| 117 |
The effect of graph complexity in an energy-based FDI approach
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Smith, Jan H.
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58 |
4 |
p. 622-627
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artikel
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| 118 |
The scenario approach for data-driven prognostics
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Cesani, D.
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58 |
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p. 461-466
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artikel
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| 119 |
Time-Series Few Shot Anomaly Detection for HVAC Systems
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Huang, Yuxin
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58 |
4 |
p. 426-431
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artikel
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| 120 |
Topological Data Analysis-Based Replay Attack Detection for Water Networks ⁎ ⁎ This work is supported by SWIFT project financed by Poul Due Jensen Foundation.
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Kuskonmaz, Bulut
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58 |
4 |
p. 91-96
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artikel
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| 121 |
Toward Enhancing Security in Intelligent Transportation: A Simulation-Based Approach ⁎ ⁎ This work was partially supported by CICYT-FEDER project number PID2021-125514NB-I00 in Spain.
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Ali, Wasim A.
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58 |
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p. 156-161
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artikel
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| 122 |
Transforming Time Petri Nets into Heterogeneous Petri Nets for Hybrid System Monitoring
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Hatte, Léonie
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58 |
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p. 646-651
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artikel
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| 123 |
Tree based Diagnosis Enhanced with Meta Knowledge Applied to Dynamic Systems ⁎ ⁎ This research is funded by Atos. This project is related to ANITI through the French “Investing for the Future – PIA3”program under the Grant agreement n°ANR-19-PI3A-0004.
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Goupil, Louis
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58 |
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p. 1-6
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artikel
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| 124 |
Vector based fault isolation in closed-loop systems
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Niemann, Henrik
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58 |
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p. 664-669
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artikel
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| 125 |
V-nets
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Vásquez-Capacho, J.W.
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58 |
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p. 652-657
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artikel
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| 126 |
Weighted Feature Fusion of Convolutional Neural Network and Graph Convolutional Network for Mechanical Fault Diagnosis under Time-varying Speeds
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Yu, Yue
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58 |
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p. 729-733
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artikel
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| 127 |
Wind Turbine Blade Monitoring via Deep Learning and Acoustic Aerodynamic Signals
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Lam, Yat Ping
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58 |
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p. 604-609
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