DocumentCode :
620589
Title :
Survey on hidden Markov model based fault diagnosis and prognosis
Author :
Xia Li-sha ; Fang Hua-jing ; Zheng Luo
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
4880
Lastpage :
4884
Abstract :
In this paper, the achievements of HMM-based fault diagnosis and prognosis are introduced. The importance of fault diagnosis and prognosis in complex dynamic industrial systems, together with the basic and the extended algorithm of HMM, are briefly presented. Then the research process of HMM-based fault diagnosis and prognosis methods in available literatures are reviewed and analyzed. After concluding the hot spots and technical difficulties, the main challenges that need to be solved and the developing trends in this field are also presented.
Keywords :
fault diagnosis; hidden Markov models; industrial engineering; HMM-based fault diagnosis method; HMM-based fault prognosis method; complex dynamic industrial systems; extended HMM algorithm; hidden Markov model based fault diagnosis method; hidden Markov model based fault prognosis method; Computational modeling; Conferences; Electronic mail; Europe; Fault diagnosis; Hidden Markov models; Silicon; Hidden Markov Model; fault diagnosis; fault prognosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561818
Filename :
6561818
Link To Document :
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