Title :
A method of data fusion system for fault detection based on model-based diagnosis and evidence theory
Author :
Qin, Yao ; Yi-kai, Shi ; Ning, Shan
Author_Institution :
Sch. of Mechatron. Eng., North-west Polytech. Univ., Xi´´an
Abstract :
This paper applied first Principles that is brought forward by Reiter etc, to obtain the conflict set and hitting set.Based this result, it introduce date fusion system with D-S evidence theory to solve the problem of detecting multi-fault through multi-symptom of these faults. The method is to seek for conflict set candidates through SD (system description) of the device off-line, and then discerns minimal conflict set and minimal hitting set on-line through the action data of the device based on the fault symptoms. Afterwards, it assigns prior probability to each possible fault component and process data fusion on the set of possible fault components using D-S evidence theory. Finally the probability order of the possible fault components is proposed.
Keywords :
fault diagnosis; inference mechanisms; power apparatus; power engineering computing; sensor fusion; D-S evidence theory; data fusion system; fault component; fault detection; fault symptoms; model-based diagnosis; multifault detection; Cables; Costs; Crystalline materials; Current transformers; Fault detection; Fault diagnosis; Frequency response; Partial discharges; Permeability; Transformer cores; Dempster-Shafer evidence theory; conflict set; data fusion; hitting set; model-based diagnosis;
Conference_Titel :
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1621-9
Electronic_ISBN :
978-1-4244-1622-6
DOI :
10.1109/CMD.2008.4580523
