Wai
Hao, Zhixuan Li, guohao Qin, KunDing, Xuwei Lai and Kai Zhang, A Novel Prediction Method Based on Bi-Channel Hierarchical Vision
Transformer for Rolling Bearings’ Remaining Useful Life, Processes, Volume 11,
2023, 1153, ISSN 2227-9717, https://doi.org/10.3390/pr11041153 Annemieke Meghoe,
Richard Loendersloot, and Tiedo Tinga, Validation of a Physics-based Prognostic
Model with Incomplete Data: A Rail Wear Case Study, International Journal of
Prognostics and Health Management, Volume 14, 2023, 108709, ISSN 2153-2648, https://doi.org/10.36001/ijphm.2023.v14i1.3283 Di Song, Junxian
Shen, Tianchi Ma, and Feiyun Xu, Multi-objective acoustic sensor placement
optimization for crack detection of compressor blade based on reinforcement
learning, Mechanical Systems and Signal Processing, Volume 197, 2023, 110350,
ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110350
Jiawei Xiong,
Olga Fink, Jian Zhou and Yizhong Ma, Controlled physics-informed data
generation for deep learning-based remaining useful life prediction under
unseen operation conditions, Mechanical Systems and Signal Processing, Volume
197, 2023, 110359, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110359 Shicheng Xue,
Wensong Zhou, James L. Beck and Yong Huang, Damage localization and robust
diagnostics in guided-wave testing using multitask complex hierarchical sparse
Bayesian learning, Mechanical Systems and Signal Processing, Volume 197, 2023,
110365, ISSN 0888-3270 https://doi.org/10.1016/j.ymssp.2023.110365 Furkan Luleci, F.
Necati Catbas and Onur Avci, CycleGAN for undamaged-to-damaged domain
translation for structural health monitoring and damage detection, Mechanical
Systems and Signal Processing, Volume 197, 2023, 110370, ISSN 0888-3270. https://doi.org/10.1016/j.ymssp.2023.110370 Dongwoo Hong and
Byeongil Kim, 1D convolutional neural network-based adaptive algorithm
structure with system fault diagnosis and signal feature extraction for noise
and vibration enhancement in mechanical systems, Mechanical Systems and Signal
Processing, Volume 197, 2023, 110395, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110395 Jiangpeng Shu,
Congguang Zhang, Xiyuan Chen and Yanbo Niu, Model-informed deep learning
strategy with vision measurement for damage identification of truss structures,
Mechanical Systems and Signal Processing, Volume 196, 2023, 110327, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110327 Haobin Chen, Ron
Chik-Kwong Wong, Simon Park and Ron Hugo, An AI-based monitoring system for
external disturbance detection and classification near a buried pipeline, Mechanical
Systems and Signal Processing, , Volume 196, 2023, 110346, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110346 Eleonora M.
Tronci, Homayoon Beigi, Raimondo Betti and Maria Q. Feng, A damage assessment
methodology for structural systems using transfer learning from the audio
domain, Mechanical Systems and Signal Processing, Volume 195, 2023, 110286,
ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110286 Han Cheng,
Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang and Kun Xu, Remaining
useful life prediction combined dynamic model with transfer learning under
insufficient degradation data, Reliability Engineering & System Safety,
Volume 236, 2023, 109292, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109292
Huixing Meng,
Mengyao Geng and Te Han, Long short-term memory network with Bayesian
optimization for health prognostics of lithium-ion batteries based on partial
incremental capacity analysis, Reliability Engineering & System Safety,
Volume 236, 2023, 109288, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109288 Guangzheng Lyu,
Heng Zhang and Qiang Miao, Parallel State Fusion LSTM-based Early-cycle Stage
Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework, Reliability
Engineering & System Safety, Volume 236, 2023, 109236, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109315 S. Miele, P.
Karve and S. Mahadevan, Multi-fidelity physics-informed machine learning for
probabilistic damage diagnosis, Reliability Engineering & System Safety,
Volume 235, 2023, 109243, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109243 Hui Wang, Junkang
Zheng and Jiawei Xiang, Online bearing fault diagnosis using numerical
simulation models and machine learning classifications, Reliability Engineering
& System Safety, Volume 234, 2023, 109142, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109142 |
