Author:
Wu Yi,Wang Jinhai,Yang Jianwei
Publisher
Springer Nature Singapore
Reference18 articles.
1. Alshorman, O., et al.: A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor. Shock. Vib. 8843759, 1–20 (2020)
2. Wei, Y., Li, Y., Xu, M., Huang, W.: A review of early fault diagnosis approaches and their applications in rotating machinery. Entropy 21(4), 1–26 (2019)
3. Lei, Y., Lin, J., He, Z., Zuo, M.J.: A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mech. Syst. Signal Process. 35(1–2), 108–126 (2013)
4. Park, Y., Fan, S., Hsu, C.: A review on fault detection and process diagnostics in industrial processes. Processes 8(9) (2020)
5. Miao, Y., et al.: A review on the application of blind deconvolution in machinery fault diagnosis Mech. Syst. Signal Process. 163, 108202 (2022)