Research on an early warning method for bearing health diagnosis based on EEMD-PCA-ANFIS

Author:

Zhou Feng,Wang Yang,Jiang Shan,Hao Ting

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Reference27 articles.

1. Qu J, Yu L, Yuan T, Tian Y, Gao F (2018) Adaptive fault diagnosis algorithm for rolling bearings based on one-dimensional convolutional neural network. Chin J Sci Ins 39(7):134–143

2. Shao H, Jiang H, Lin Y, Li X (2018) A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders. Mech Syst Signal Proc 102:278–297

3. Zhao G, Pan B, Li F (2008) Application of condition monitoring technology in the diagnosis of bearing faults in high-speed rotating equipment [J]. Plant Maint Eng 12:42–43

4. Chen J, Zhang W, Luo M, Wang H (2021) Research on temperature monitoring system of inner ring of intelligent rolling bearing [J]. Ins Tech Sens 10:103–108

5. Gopalakrishna GK, Padubidre SP (2019) Development of low cost system for condition monitoring of rolling element bearing using MEMS based accelerometer[C]//EMERGING TRENDS IN MECHANICAL ENGINEERING 2018

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