TY - GEN
T1 - Fault Prediction for Rotating Bearing United Genetic Algorithm Optimize Variational Mode Decomposition and Support Vector Machine
AU - Guo, Zijian
AU - Ye, Xuerong
AU - Tan, Jun
AU - Zhai, Guofu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The vibration signal of rotating bearing is continuous and non-stationary. The fault information contained in the signal can not be reflected directly due to the excessive noise background of the operating environment. Based on the above characteristic and shortcomings, a new fault prediction method is proposed in this paper. Firstly, aiming at the disadvantage of modal aliasing caused by improper parameter selection of variational mode decomposition(VMD) algorithm, a parameter optimization model based on genetic algorithm(GA) is established to search the best combination of parameters globally. Due to the small dataset of early rotating bearing failures, the support vector machine (SVM) method based on parameter optimization is used for fault prediction, and its prediction accuracy is as high as 90%, which provides a new idea for rotating bearing fault prediction.
AB - The vibration signal of rotating bearing is continuous and non-stationary. The fault information contained in the signal can not be reflected directly due to the excessive noise background of the operating environment. Based on the above characteristic and shortcomings, a new fault prediction method is proposed in this paper. Firstly, aiming at the disadvantage of modal aliasing caused by improper parameter selection of variational mode decomposition(VMD) algorithm, a parameter optimization model based on genetic algorithm(GA) is established to search the best combination of parameters globally. Due to the small dataset of early rotating bearing failures, the support vector machine (SVM) method based on parameter optimization is used for fault prediction, and its prediction accuracy is as high as 90%, which provides a new idea for rotating bearing fault prediction.
KW - Genetic Agorithm (GA)
KW - Prognostics
KW - Signal processing
KW - Support Vector Machine (SVM)
KW - variational modal decomposition (VMD)
UR - https://www.scopus.com/pages/publications/85126253607
U2 - 10.1109/SRSE54209.2021.00015
DO - 10.1109/SRSE54209.2021.00015
M3 - 会议稿件
AN - SCOPUS:85126253607
T3 - Proceedings - 2021 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
SP - 50
EP - 55
BT - Proceedings - 2021 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on System Reliability and Safety Engineering, SRSE 2021
Y2 - 26 November 2021 through 28 November 2021
ER -