Application of recurrent neural network to mechanical fault diagnosis: a review

• Published in: Journal of mechanical science and technology Vol. 36; no. 2; pp. 527 - 542
• Main Authors: Zhu, Junjun, Jiang, Quansheng, Shen, Yehu, Qian, Chenhui, Xu, Fengyu, Zhu, Qixin
• Format: Journal Article
• Language: English
• Published: Seoul Korean Society of Mechanical Engineers 01.02.2022; Springer Nature B.V; 대한기계학회
• Subjects: Algorithms; Complexity; Control; Data processing; Dynamical Systems; Engineering; Fault diagnosis; Industrial and Production Engineering; Intelligent manufacturing systems; Machine learning; Mechanical Engineering; Neural networks; Original Article; Recurrent neural networks; State-of-the-art reviews; Vibration; 기계공학; Fult diagnosis; Time series characteristics; Recurrent neural network; Structure optimization

With the development of intelligent manufacturing and automation, the precision and complexity of mechanical equipment are increasing, which leads to a higher requirement for fault diagnosis. Fault diagnosis has gradually transformed from traditional diagnosis algorithm to deep feature mining and ex...