Title :
The developing tendency of the fault diagnoses based on artificial intelligence
Author_Institution :
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
The classification of the latest progress of fault diagnoses based on artificial intelligence is given in this paper. The advantages and disadvantages of various fault diagnosis methods are discussed. The new developing trends of fault diagnoses, which are combined with various different artificial intelligences, are pointed out.
Keywords :
artificial intelligence; failure analysis; fault diagnosis; mechanical engineering computing; artificial intelligence; fault diagnosis method; Automation; Educational institutions; Expert systems; Fault diagnosis; Neural networks; Predictive models; Fault diagnoses; artificial intelligence; developing tendency;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
