Artificial Intelligence-Based Bearing Fault Diagnosis of Rotating Machine to Improve the Safety of Power System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6749-0_63
Reference28 articles.
1. Stetco A, Dinmohammadi F, Zhao X, Robu V, Flynn D, Barnes M, Keane J, Nenadic G (2019) Machine learning methods for wind turbine condition monitoring: a review. Renew Energy 133:620–635
2. Selvaraj V, Xu Z, Min S (2023) Intelligent operation monitoring of an ultra-precision CNC machine tool using energy data. Int J Precis Eng Manuf-Green Technol 10:59–69. https://doi.org/10.1007/s40684-022-00449-5
3. Stavropoulos P, Souflas T, Papaioannou C et al (2023) An adaptive, artificial intelligence-based chatter detection method for milling operations. Int J Adv Manuf Technol 124:2037–2058. https://doi.org/10.1007/s00170-022-09920-8
4. Boza P, Evgeniou T (2021) Artificial intelligence supports the integration of variable renewable energy sources into the power system. Appl Energy 290:116754
5. Xu G, Hou D, Qi H, Bo L (2021) High-speed train wheelset bearing fault diagnosis and prognostics: a new prognostic model based on extendable useful life. Mech Syst Signal Process 146:1–23
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Bearing Fault Diagnosis Based on Artificial Intelligence Methods: Machine Learning and Deep Learning;Arabian Journal for Science and Engineering;2024-08-18
2. Vibration and acoustic signal-based bearing fault diagnosis in CNC machine using an improved deep learning;Iran Journal of Computer Science;2024-08-17
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