| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Case Study for Problem-based Learning Education in Fault Diagnosis Assessment
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Barbieri, Giacomo
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53 |
3 |
p. 107-112
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artikel
|
| 2 |
A clustering approach to detect faults with multi-component degradations in aircraft fuel systems
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Zaporowska, Anna
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53 |
3 |
p. 113-118
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artikel
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| 3 |
A comparison of machine learning techniques for LNG pumps fault prediction in regasification plants
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De la, Fuente A.
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53 |
3 |
p. 125-130
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artikel
|
| 4 |
A Digital Maintenance Practice Framework for Circular Production of Automotive Parts
|
Turner, C.
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53 |
3 |
p. 19-24
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artikel
|
| 5 |
Advanced technologies for effective asset management - two cases in capital intensive branches
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Kortelainen, Helena
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53 |
3 |
p. 7-12
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artikel
|
| 6 |
A framework for the integration of digitalised maintenance systems with relevant working areas: A case study
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Algabroun, Hatem
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53 |
3 |
p. 185-190
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artikel
|
| 7 |
A miniaturised active thermography system for in-situ inspections
|
Du, Weixiang
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53 |
3 |
p. 66-71
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artikel
|
| 8 |
An Augmented Reality Platform for training in the industrial context
|
Bologna, Jennifer K.
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53 |
3 |
p. 197-202
|
artikel
|
| 9 |
An Ensemble Learning-Based Remaining Useful Life Prediction Method for Aircraft Turbine Engine
|
Zeng, Jiyan
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|
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53 |
3 |
p. 48-53
|
artikel
|
| 10 |
A new model to compare intelligent asset management platforms (IAMP)
|
Martínez-Galán, Pablo
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53 |
3 |
p. 13-18
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artikel
|
| 11 |
An EWT-PCA and Extreme Learning Machine Based Diagnosis Approach for Hydraulic Pump
|
Ding, Yu
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53 |
3 |
p. 43-47
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artikel
|
| 12 |
An integrated simulation paradigm for lifecycle-covering maintenance in the Industry 4.0 context
|
Cimino, Chiara
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53 |
3 |
p. 307-312
|
artikel
|
| 13 |
Approach for the determination of maintenance strategies based on an empirical case study
|
Rosebrock, C.
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53 |
3 |
p. 149-154
|
artikel
|
| 14 |
A remote laboratory for Maintenance 4.0 training and education
|
Kans, Mirka
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53 |
3 |
p. 101-106
|
artikel
|
| 15 |
Asset Information Model to support the adoption of a Digital Twin: West Cambridge case study ⁎ ⁎ This research is supported by the Engineering and Physical Sciences Research Council and Costain plc through an Industrial CASE studentship.
|
Heaton, James
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53 |
3 |
p. 366-371
|
artikel
|
| 16 |
Augmented reality assisted calibration of digital twins of mobile robots
|
Williams, Richard
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53 |
3 |
p. 203-208
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artikel
|
| 17 |
Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process ⁎ ⁎ This project has received funding from the European Union’s Horizon 2020 research named Z-BRE4K and innovation program under grant agreement No 768869.
|
Angadi, Veerendra C.
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53 |
3 |
p. 271-275
|
artikel
|
| 18 |
Change detection in streaming data analytics: A comparison of Bayesian online and martingale approaches
|
Namoano, Bernadin
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53 |
3 |
p. 336-341
|
artikel
|
| 19 |
Contents
|
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53 |
3 |
p. i-viii
|
artikel
|
| 20 |
Critical link analysis of a national internet backbone via dynamic perturbation ⁎ ⁎ This research was supported by the Next Generation Converged Digital Infrastructure project (EP/R004935/1) funded by the Engineering and Physical Sciences Research Council and BT.
|
Herrera, Manuel
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53 |
3 |
p. 155-160
|
artikel
|
| 21 |
Cutting Tools Replacement: Toward a Holistic Framework
|
Equeter, Lucas
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53 |
3 |
p. 227-232
|
artikel
|
| 22 |
Data taxonomy to manage information and data in Maintenance Management
|
Polenghi, A.
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53 |
3 |
p. 245-250
|
artikel
|
| 23 |
Design of a Multi-Agent System for exploiting the communicating concrete in a SHM/BIM context
|
Wan, H.
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53 |
3 |
p. 372-379
|
artikel
|
| 24 |
Development of An Augmented Reality Equipped Composites Bonded Assembly and Repair for Aerospace Applications
|
Nezhad, H. Yazdani
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53 |
3 |
p. 209-215
|
artikel
|
| 25 |
Digitalization and reasoning over engineering textual data stored in spreadsheet tables
|
Hodkiewicz, Melinda
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53 |
3 |
p. 239-244
|
artikel
|
| 26 |
Digital Twin Enabled Asset Anomaly Detection for Building Facility Management
|
Xie, Xiang
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53 |
3 |
p. 380-385
|
artikel
|
| 27 |
Distributed Diagnostics, Prognostics and Maintenance Planning: Realizing Industry 4.0
|
Jain, Amit Kumar
|
|
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53 |
3 |
p. 354-359
|
artikel
|
| 28 |
Dynamic Revenue Control and Lot Sizing for a Diffusion Inventory Model with Deterioration
|
Kitaeva, Anna V.
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53 |
3 |
p. 233-238
|
artikel
|
| 29 |
Empirical Convergence Analysis of Federated Averaging for Failure Prognosis ⁎ ⁎ This research was funded by the EPSRC and BT Prosperity Partnership project: Next Generation Converged Digital Infrastructure, grant number EP/R004935/1
|
Dhada, Maharshi
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53 |
3 |
p. 360-365
|
artikel
|
| 30 |
Enabling predictive analytics for smart manufacturing through an IIoT platform ⁎ ⁎ This research leading has been partially funded by the European Commission under the H2020-IND-CE-2016-17 program, FOF-09-2017, Grant agreement no. 767561 ”SERENA” project, VerSatilE plug-and-play platform enabling REmote predictive mainteNAnce.
|
Cerquitelli, T.
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53 |
3 |
p. 179-184
|
artikel
|
| 31 |
End-to-End Industrial IoT Platform for Actionable Predictive Maintenance
|
Christou, Ioannis T.
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53 |
3 |
p. 173-178
|
artikel
|
| 32 |
Evaluating the effectiveness of machine acquisitions and design by the impact on maintenance cost – a case study
|
Hagström, M. Hane
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53 |
3 |
p. 25-30
|
artikel
|
| 33 |
Failure Prediction of Auxiliary Lube Oil Pump in Gas Turbines: Applying Monte Carlo Neural Networks to an Unbalanced Dataset ⁎ ⁎ This research is supported by Siemens Industrial Turbomachinery Ltd.
|
Zhou, Hang
|
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53 |
3 |
p. 131-136
|
artikel
|
| 34 |
Health Assessment for Hydraulic System based on GRNN and Metric Learning
|
Song, Dengwei
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53 |
3 |
p. 37-42
|
artikel
|
| 35 |
Health-aware advanced control applied to a gas-lifted oil well network
|
Matias, José
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|
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53 |
3 |
p. 301-306
|
artikel
|
| 36 |
Hybrid proactive approach for solving maintenance and planning problems in the scenario of Industry 4.0 ⁎ ⁎ The authors thank CAPES, CNPq, and FAPEMIG for financial support. M.G.R. also acknowledges partial support of FUNDEP.
|
Alves, Fernanda F.
|
|
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53 |
3 |
p. 216-221
|
artikel
|
| 37 |
Improving Building Energy Footprint and Asset Performance Using Digital Twin Technology
|
Jafari, Mohsen A.
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|
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53 |
3 |
p. 386-391
|
artikel
|
| 38 |
Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?
|
Ansari, Fazel
|
|
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53 |
3 |
p. 295-300
|
artikel
|
| 39 |
Integrated maintenance platform for critical cranes under operation: Database for maintenance purposes
|
Szpytko, Janusz
|
|
|
53 |
3 |
p. 167-172
|
artikel
|
| 40 |
Integrated production and maintenance planning for a deteriorating system under uncertain demands
|
Liu, Bin
|
|
|
53 |
3 |
p. 222-226
|
artikel
|
| 41 |
Integration of I4.0 technologies with maintenance processes: what are the effects on sustainable manufacturing?
|
Franciosi, Chiara
|
|
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53 |
3 |
p. 1-6
|
artikel
|
| 42 |
Machines’ Behaviour Prediction Tool (BPT) for maintenance applications
|
Aivaliotis, P.
|
|
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53 |
3 |
p. 325-329
|
artikel
|
| 43 |
Maintenance schedule optimisation for manufacturing systems
|
Németh, István
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53 |
3 |
p. 319-324
|
artikel
|
| 44 |
Maintenance Service Platform (MSP) for maintenance information collection and sharing
|
Eytan, A.
|
|
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53 |
3 |
p. 330-335
|
artikel
|
| 45 |
Modeling Interactions for Inoperability Management: from Fault Tree Analysis (FTA) to Dynamic Bayesian Network (DBN)
|
Tchangani, Ayeley
|
|
|
53 |
3 |
p. 342-347
|
artikel
|
| 46 |
Modelling investment plans at asset portfolio level using optimum plan rationalisation approaches
|
Hunt, Andrew
|
|
|
53 |
3 |
p. 143-148
|
artikel
|
| 47 |
Multiple point contact wear prediction and source identification scheme using a single channel blended airborne acoustic signature
|
Shahid, Muhammad Atayyab
|
|
|
53 |
3 |
p. 283-288
|
artikel
|
| 48 |
On the focal concepts of Maintenance in the Digital era
|
Macchi, M.
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|
|
53 |
3 |
p. 84-89
|
artikel
|
| 49 |
Ontology - based context resolution in internet of things enabled diagnostics
|
Al-Shdifat, Ali
|
|
|
53 |
3 |
p. 251-256
|
artikel
|
| 50 |
Ontology for Strategies and Predictive Maintenance models
|
Cho, Sangje
|
|
|
53 |
3 |
p. 257-264
|
artikel
|
| 51 |
Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry
|
Savolainen, P
|
|
|
53 |
3 |
p. 95-100
|
artikel
|
| 52 |
Predicting Bridge Elements Deterioration, using Collaborative Gaussian Process Regression ⁎ ⁎ This work was supported by the European Community’s H2020 Programme MG7-1-2017 Resilience to extreme (natural and man-made) events [grant number 769255] - “GIS-based infrastructure management system for optimised response to extreme events of terrestrial transport networks (SAFEWAY)”.
|
Dhada, Maharshi
|
|
|
53 |
3 |
p. 348-353
|
artikel
|
| 53 |
Preventive maintenance planning based on Weibull distribution models: The impact of the random scatter behaviour of the threshold parameter
|
Bracke, S.
|
|
|
53 |
3 |
p. 161-166
|
artikel
|
| 54 |
Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs
|
Jain, Amit Kumar
|
|
|
53 |
3 |
p. 78-83
|
artikel
|
| 55 |
PROGRAMS project approach to maintenance management
|
Surico, M.
|
|
|
53 |
3 |
p. 313-318
|
artikel
|
| 56 |
Rare Failure Prediction Using an Integrated Auto-encoder and Bidirectional Gated Recurrent Unit Network
|
Dangut, Maren David
|
|
|
53 |
3 |
p. 276-282
|
artikel
|
| 57 |
Recommendation of PHM algorithms based on fuzzy information fusion
|
Suo, Mingliang
|
|
|
53 |
3 |
p. 31-36
|
artikel
|
| 58 |
Recurrent Neural Networks and its variants in Remaining Useful Life prediction
|
Wang, Youdao
|
|
|
53 |
3 |
p. 137-142
|
artikel
|
| 59 |
Remaining Useful Life Transfer Prediction and Cycle Life Test Optimization for Different Formula Li-ion Power Batteries Using a Robust Deep Learning Method ⁎ ⁎ This study was supported by the National Natural Science Foundation of China (Grant Nos. 61973011 and 51605014), the Fundamental Research Funds for the Central Universities (Grant No. YWF-20-BJ-J-517), the Fundamental Research Funds for the Central Universities (Grant No. ZG140S1993), National Key Laboratory of Science and Technology on Reliability and Environmental Engineering (Grant No. 6142004180501), RD projects in key areas of Guangdong Province (Grant No.2018B010108005), as well as the Capital Science Technology Leading Talent Program (Grant No. Z191100006119029)
|
Ma, Jian
|
|
|
53 |
3 |
p. 54-59
|
artikel
|
| 60 |
Residual Life Prediction in the Presence of Human Error Using Machine Learning
|
Mohril, Ram S.
|
|
|
53 |
3 |
p. 119-124
|
artikel
|
| 61 |
Sensing system for low cost condition monitoring of remote assets
|
Ziegelaar, Aiden J.
|
|
|
53 |
3 |
p. 60-65
|
artikel
|
| 62 |
Towards Data-centric Decision Making for Smart Infrastructure: Data and Its Challenges
|
Broo, Didem Gürdür
|
|
|
53 |
3 |
p. 90-94
|
artikel
|
| 63 |
Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project ⁎ ⁎ The research described in this paper was funded by EPSRC grant EP/R032777/1, for which the support is greatly appreciated. We’d like to thank our project partners at the University of Cambridge Institute for Manufacturing for their help and support.
|
McNally, Michael J.
|
|
|
53 |
3 |
p. 72-77
|
artikel
|
| 64 |
Towards prediction of machine failures: overview and first attempt on specific automotive industry application
|
Ciancio, Vincent
|
|
|
53 |
3 |
p. 289-294
|
artikel
|
| 65 |
Unified Predictive Maintenance System - Findings Based on its Initial Deployment in Three Use Case
|
Hribernik, K.
|
|
|
53 |
3 |
p. 191-196
|
artikel
|
| 66 |
Using Expert Knowledge to Generate Data for Broadband Line Prognostics Under Limited Failure Data Availability ⁎ ⁎ This research was funded by the Engineering and Physical Sciences Research Council through a Doctoral Training Partnership grant (EP/M508007/1). This research was partly supported by the Next Generation Digital Infrastructure project (EP/R004935/1) funded by the Engineering and Physical Sciences Research Council and British Telecom (BT).
|
Ranasinghe, Gishan Don
|
|
|
53 |
3 |
p. 265-270
|
artikel
|
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