Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems
Reference20 articles.
1. Zhang S, Zhang S, Wang B, Habetler TG (2020) Deep learning algorithms for bearing fault diagnostics—a comprehensive review. IEEE Access 8:29857–29881
2. Gupta P, Pradhan MK (2017) Fault detection analysis in rolling element bearing: a review. Mater Today Proc 4(2):2085–2094
3. Singh S, Vishwakarma M (2015) A review of vibration analysis techniques for rotating machines. Int J Eng Res Technol 4(03):757–761
4. Yang H, Mathew J, Ma L (2003) Vibration feature extraction techniques for fault diagnosis of rotating machinery: a literature survey. In: Asia-Pacific Vibration Conference, no. 42460, pp 801-807
5. Caesarendra W, Tjahjowidodo T (2017) A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing. Machines 5(4):21
Cited by
13 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