Intelligent Fault Detection of Rotating Machinery Using Long-Short-Term Memory (LSTM) Network
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-20429-6_8
Reference19 articles.
1. Hamadache, M., Jung, J.H., Park, J., Youn, B.D.: A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning. JMST Adv. 1(1–2), 125–151 (2019). https://doi.org/10.1007/s42791-019-0016-y
2. Nath, A.G., Udmale, S.S., Singh, S.K.: Role of artificial intelligence in rotor fault diagnosis: a comprehensive review. Artif. Intell. Rev. 54(4), 2609–2668 (2020). https://doi.org/10.1007/s10462-020-09910-w
3. Liu, R., Yang, B., Zio, E., Chen, X.: Artificial intelligence for fault diagnosis of rotating machinery: a review (2018). https://doi.org/10.1016/j.ymssp.2018.02.016
4. Alshorman, O., Irfan, M., Saad, N., Zhen, D., Haider, N., Glowacz, A., Alshorman, A.: A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor (2020). https://doi.org/10.1155/2020/8843759
5. Anwarsha, A., Narendiranath Babu, T.: A review on the role of tunable q-factor wavelet transform in fault diagnosis of rolling element bearings. J. Vibr. Eng. Technol. (2022). https://doi.org/10.1007/s42417-022-00484-1
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