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[PHM News Letter Vol. 22] PHM °ü·Ã Çмú Àú³Î ¹× ³í¹®




Xinyu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu, A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox, Reliability Engineering & System Safety, Volume 237, 2023, 109372, ISSN 0951-8320, 

https://doi.org/10.1016/j.ress.2023.109372

 

Qikang Li, Baoping Tang, Lei Deng, Peng Zhu, Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy, Reliability Engineering & System Safety, Volume 238, 2023, 109468, ISSN 0951-8320,

https://doi.org/10.1016/j.ress.2023.109468

 

Hrishikesh Gosavi, Vijaya V.N. Sriram Malladi, Estimation of elastic bandgaps in metastructures: A comparison of physics-based and data-driven approaches, Mechanical Systems and Signal Processing, Volume 201, 2023, 110622, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110622

 

Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal, A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns, Mechanical Systems and Signal Processing, Volume 201, 2023, 110676, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110676

 

Hamid Shiri, Pawel Zimroz, Jacek Wodecki, Agnieszka Wy©©omańska, Rados©©aw Zimroz, Krzysztof Szabat, Using long-term condition monitoring data with non-Gaussian noise for online diagnostics, Mechanical Systems and Signal Processing, Volume 200, 2023, 110472, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110472

 

Leiming Ma, Bin Jiang, Lingfei Xiao, Ningyun Lu, Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis, Mechanical Systems and Signal Processing, Volume 200, 2023, 110490, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110490

 

Rongpeng Li, Supei Zheng, Fengdan Wang, Qingtian Deng, Xinbo Li, Yuzhu Xiao, Xueli Song, A robust sparse Bayesian learning method for the structural damage identification by a mixture of Gaussians, Mechanical Systems and Signal Processing, Volume 200, 2023, 110483, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110483

 

Zidong Yu, Changhe Zhang, Chao Deng, An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions, Mechanical Systems and Signal Processing, Volume 200, 2023, 110534, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110534

 

Bo Qin, Yongqing Wang, Kuo Liu, Shaowei Jiang, Qi Luo, A novel online tool condition monitoring method for milling titanium alloy with consideration of tool wear law, Mechanical Systems and Signal Processing, Volume 199, 2023, 110467, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110467

 

Long Ye, Jun Qian, Dominiek Reynaerts, A physics-informed CNN-TSE hybrid network for micro-EDM process monitoring and control, Mechanical Systems and Signal Processing, Volume 202, 2023, 110685, ISSN 0888-3270,

https://doi.org/10.1016/j.ymssp.2023.110685

 

Haoxuan Zhou, Bingsen Wang, Enrico Zio, Guangrui Wen, Zimin Liu, Yu Su, Xuefeng Chen, Hybrid system response model for condition monitoring of bearings under time-varying operating conditions, Reliability Engineering & System Safety, Volume 239, 2023, 109528, ISSN 0951-8320,

https://doi.org/10.1016/j.ress.2023.109528

 

Dongkyu Lee, Junho Song, Risk-informed operation and maintenance of complex lifeline systems using parallelized multi-agent deep Q-network, Reliability Engineering & System Safety, Volume 239, 2023, 109512, ISSN 0951-8320,

https://doi.org/10.1016/j.ress.2023.109512

 

WanJun Hou, Yizhen Peng, Adaptive ensemble gaussian process regression-driven degradation prognosis with applications to bearing degradation, Reliability Engineering & System Safety, Volume 239, 2023, 109479, ISSN 0951-8320,

https://doi.org/10.1016/j.ress.2023.109479

 

Wenjian Lu, Yu Wang, Mingquan Zhang, Junwei Gu, Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process, Engineering Applications of Artificial Intelligence, Volume 127, Part B, 2024, 107350, ISSN 0952-1976,

https://doi.org/10.1016/j.engappai.2023.107350

 

Huang, Yubiao, Jiaqing Zhang, Rui Liu, and Shuangyao Zhao, Improving Accuracy and Interpretability of CNN-Based Fault Diagnosis through an Attention Mechanism, Processes, Volume 11, 2023, 3233, ISSN 2227-9717,

https://doi.org/10.3390/pr11113233




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