TY - GEN
T1 - Analytical method of fault detection and isolation based on bond graph for electromechanical actuator
AU - Liu, Hongfei
AU - Yu, Liming
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - This paper uses a fault diagnosis methodology based on bond graph to detect and isolate faults in electromechanical actuator (EMA). Firstly, transform the EMA behavioural model into a diagnostic model, and then the analytical redundancy relations (ARRs) for fault detection can be derived from this model. Finally, a fault signature matrix (FSM) for fault isolation is established. Simulation results show the successful detection & isolation of free-run fault in EMA using the proposed method.
AB - This paper uses a fault diagnosis methodology based on bond graph to detect and isolate faults in electromechanical actuator (EMA). Firstly, transform the EMA behavioural model into a diagnostic model, and then the analytical redundancy relations (ARRs) for fault detection can be derived from this model. Finally, a fault signature matrix (FSM) for fault isolation is established. Simulation results show the successful detection & isolation of free-run fault in EMA using the proposed method.
KW - Analytical redundancy relation
KW - Diagnostic bond graph
KW - Electromechanical actuator
KW - Fault detection & isolation
KW - Fault signature matrix
UR - https://www.scopus.com/pages/publications/85030328396
U2 - 10.1109/ICMA.2017.8015849
DO - 10.1109/ICMA.2017.8015849
M3 - 会议稿件
AN - SCOPUS:85030328396
T3 - 2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
SP - 393
EP - 397
BT - 2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
Y2 - 6 August 2017 through 9 August 2017
ER -