| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A dual-purpose data-model interactive framework for multi-sensor selection and prognosis
|
Li, Huiqin
|
|
|
258 |
C |
p.
|
artikel
|
| 2 |
Advancing stochastic modeling for nonlinear problems: Leveraging the transformation law of probability density
|
Saifi, Qais
|
|
|
258 |
C |
p.
|
artikel
|
| 3 |
AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions
|
He, Deqiang
|
|
|
258 |
C |
p.
|
artikel
|
| 4 |
A new approach for product reliability prediction by considering the production factory lifecycle information
|
Gunjan, Shashi Bhushan
|
|
|
258 |
C |
p.
|
artikel
|
| 5 |
A new probabilistic transformation technique for evidence-theory-based structural reliability analysis
|
Zhang, Dequan
|
|
|
258 |
C |
p.
|
artikel
|
| 6 |
A novel adaptive monitoring framework for detecting the abnormal states of aero-engines with maneuvering flight data
|
Wang, Jianwen
|
|
|
258 |
C |
p.
|
artikel
|
| 7 |
A real-time multi-node structural response prediction and rapid seismic resilience assessment method
|
Zhou, Ying
|
|
|
258 |
C |
p.
|
artikel
|
| 8 |
A systems-theoretic approach using association rule mining and predictive Bayesian trend analysis to identify patterns in maritime accident causes
|
Bairami-Khankandi, Shahrokh
|
|
|
258 |
C |
p.
|
artikel
|
| 9 |
Availability of the European power system assets: What we learn from data?
|
Gjorgiev, Blazhe
|
|
|
258 |
C |
p.
|
artikel
|
| 10 |
Bayesian inference-assisted reliability analysis framework for robotic motion systems in future factories
|
Shen, Shuoshuo
|
|
|
258 |
C |
p.
|
artikel
|
| 11 |
Computational fluid dynamics -informed virtual safety assessment of steel-framed structure with fire-induced ductile failure
|
Shi, Zhiyi
|
|
|
258 |
C |
p.
|
artikel
|
| 12 |
Dynamic model-driven dictionary learning-inspired domain adaptation strategy for cross-domain bearing fault diagnosis
|
Du, Zhengyu
|
|
|
258 |
C |
p.
|
artikel
|
| 13 |
Editorial Board
|
|
|
|
258 |
C |
p.
|
artikel
|
| 14 |
Identifying critical road segments and optimizing resilience strategies based on multi-state congested characteristics
|
Dong, Xiushi
|
|
|
258 |
C |
p.
|
artikel
|
| 15 |
Integrating physical knowledge for generative-based zero-shot learning models in process fault diagnosis
|
Mu, Guoqing
|
|
|
258 |
C |
p.
|
artikel
|
| 16 |
Physics-based pruning neural network for global sensitivity analysis
|
Bai, Zhiwei
|
|
|
258 |
C |
p.
|
artikel
|
| 17 |
Physics-informed Gaussian process probabilistic modeling with multi-source data for prognostics of degradation processes
|
Jiang, Chen
|
|
|
258 |
C |
p.
|
artikel
|
| 18 |
Physics-informed neural network supported wiener process for degradation modeling and reliability prediction
|
He, Zhongze
|
|
|
258 |
C |
p.
|
artikel
|
| 19 |
Railway operational hazard prediction and control based on knowledge graph embedding and topological analysis
|
Liu, Jintao
|
|
|
258 |
C |
p.
|
artikel
|
| 20 |
Reconstruction of 3-D pipeline defect profile based on MFL signals and hybrid neural networks
|
Chen, Yinuo
|
|
|
258 |
C |
p.
|
artikel
|
| 21 |
Remaining useful life prediction based on graph feature attention networks with missing multi-sensor features
|
Wang, Yu
|
|
|
258 |
C |
p.
|
artikel
|
| 22 |
Remaining useful life prediction method based on two-phase adaptive drift Wiener process
|
Wang, Zhijian
|
|
|
258 |
C |
p.
|
artikel
|
| 23 |
SDCGAN: A CycleGAN-based single-domain generalization method for mechanical fault diagnosis
|
Guo, Yu
|
|
|
258 |
C |
p.
|
artikel
|
| 24 |
SIGTN: A novel structural Infomax Graph Transfer Networks for rotating machinery fault diagnosis in cross-condition and cross-equipment scenarios
|
Zhang, Kongliang
|
|
|
258 |
C |
p.
|
artikel
|
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