TY - GEN
T1 - Fault Diagnosis and Analysis of Hydraulic System Based on Partial Least Squares Method
AU - Wang, Xiaoming
AU - Xiong, Rui
AU - Gao, Jiashan
AU - Wang, Xingjian
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The hydraulic system is widely used as power mechanism and actuation system in large-scale industrial equipment. The strong coupling between system circuits and different fault mechanisms make fault diagnosis difficult. In order to address these issues, a fault diagnosis method based on partial least squares is proposed for hydraulic system. The AMESim simulation platform is used to simulate the fault status of hydraulic components, generate fault data, and combine partial least squares to establish a regression equation between process variables and fault types for discriminative analysis of hydraulic system fault types. The simulation results indicate that the partial least squares method can achieve process variable data fusion, extract fault features, and complete the detection, separation, and recognition of fault types.
AB - The hydraulic system is widely used as power mechanism and actuation system in large-scale industrial equipment. The strong coupling between system circuits and different fault mechanisms make fault diagnosis difficult. In order to address these issues, a fault diagnosis method based on partial least squares is proposed for hydraulic system. The AMESim simulation platform is used to simulate the fault status of hydraulic components, generate fault data, and combine partial least squares to establish a regression equation between process variables and fault types for discriminative analysis of hydraulic system fault types. The simulation results indicate that the partial least squares method can achieve process variable data fusion, extract fault features, and complete the detection, separation, and recognition of fault types.
KW - AMESim simulation modeling
KW - Fault diagnosis
KW - Hydraulic system
KW - Partial least squares method
KW - Process variables
KW - component
UR - https://www.scopus.com/pages/publications/85174895327
U2 - 10.1109/ICEEMT59522.2023.10262929
DO - 10.1109/ICEEMT59522.2023.10262929
M3 - 会议稿件
AN - SCOPUS:85174895327
T3 - 2023 3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023
SP - 374
EP - 379
BT - 2023 3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023
Y2 - 21 July 2023 through 23 July 2023
ER -