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
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;
Conference_Titel :
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4799-4771-3
DOI :
10.1109/IWCIA.2014.6988110