DocumentCode
2003529
Title
Faults Diagnosis of Rotor Machine in Whole Running-up Process Based on Hybrid SVVM/HMM Architecture
Author
Feng Changjian ; Wu Bin ; Kangjing Shaoqiang
Author_Institution
Dalian nationalities Univ., Dalian
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
1072
Lastpage
1074
Abstract
A new architecture for diagnosis of rotor machine in whole running-up process is proposed. This architecture converts the output of support vector machine (SVM) into the form of posterior probability which is computed by the combining use of sigmoid function and Gauss model, and it acts as a probability evaluator in the hidden states of hidden Markov models (HMM). Experiments show that the architecture is very effective.
Keywords
electric machine analysis computing; fault diagnosis; hidden Markov models; machine control; rotors; support vector machines; Gauss model; HMM architecture; SVM; faults diagnosis; hidden Markov model; posterior probability; rotor machine; sigmoid function; support vector machine; Computer architecture; Fault diagnosis; Gaussian processes; Hidden Markov models; Mechanical engineering; Probability; Sequences; Support vector machines; Vibrations; Yttrium; HMM; SVM; faults diagnosis; rotor machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0818-4
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376523
Filename
4376523
Link To Document