Title :
Fault Isolation Based on Subjective Bayes´ Reasoning for Redundant Actuation System
Author :
Wang, Shaoping ; Shi, Jian ; Tomovic, Mileta M.
Author_Institution :
Mechatron. Dept., Beihang Univ., Beijing
Abstract :
Directing to the difficulties of fault isolation based on mathematical model, this paper presents a new fault isolation method that utilizes the limit apriori knowledge of expert, infers the failure process recursively and realizes the fault isolation with Bayes´ reasoning. Through dividing the system into several levels hierarchically according to their information flow, the system failure process can be reasoned from bottom to up with Bayes´ sufficient factor LS and Bayes´ necessary factor LN, and find the fault place with likelihood rate by the Bayes´ reasoning.. Because the subjective Bayes reasoning can strength the fault information and eliminate specious information, this method is suitable to determine the failure location for complicated system. Application of tri-redundant actuation system indicates that the subjective Bayes´ reasoning can accomplish the fault isolation effectively.
Keywords :
Bayes methods; fault diagnosis; inference mechanisms; redundancy; Bayes necessary factor LN; Bayes sufficient factor LS; fault isolation; mathematical model; redundant actuation system; subjective Bayes reasoning; system failure process; Automation; Damping; Error correction; Fault detection; Fault diagnosis; Force feedback; Mechatronics; Pistons; Servomechanisms; Valves; Subjective Bayes´ reasoning; fault isolation; likelihood rate; tri-redudnat actuation system;
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
DOI :
10.1109/RAMECH.2008.4681410