DocumentCode
1769036
Title
Engine fault diagnosis based on the weighted DS evidence theory
Author
Zhuting Yao ; Hongxia Pan
Author_Institution
Coll. of Mech. & Power Eng., North Univ. of China, Taiyuan, China
fYear
2014
fDate
7-8 Nov. 2014
Firstpage
219
Lastpage
223
Abstract
Engine as a typical reciprocating power machinery, its complex structure determines its fault complexity and diversity, from the operating environment, system noise and sensor accuracy brings the uncertainties effect, results in accuracy rate lower of engine fault diagnosis, taking into account the limitations of traditional DS evidence theory, weighted DS evidence theory are studied. Finally, the engine as an example, setting engine fault diagnosis experimental system, finish data samples, extract character parameters, study weighted evidence theory, and test and analysis indicate the superiority of weighted DS evidence theory.
Keywords
engines; fault diagnosis; inference mechanisms; mechanical engineering computing; uncertainty handling; Dempster-Shafer evidence theory; engine fault diagnosis; weighted DS evidence theory; Diesel engines; Educational institutions; Fault diagnosis; Indexes; Time-domain analysis; Vibrations; DS evidence theory; engine; weighted DS evidence theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location
Hiroshima
ISSN
1883-3977
Print_ISBN
978-1-4799-4771-3
Type
conf
DOI
10.1109/IWCIA.2014.6988110
Filename
6988110
Link To Document