DocumentCode :
1991322
Title :
Machinery condition monitoring using LPC residual signal energy
Author :
Chong, Ui-Pil ; Lee, Sung-Sang ; Ovcharenko, Alexander ; Cho, Sang-Jin
Author_Institution :
Sch. of Comput. Eng. & Inf. Technol., Ulsan Univ., South Korea
fYear :
2005
fDate :
26 June-2 July 2005
Firstpage :
721
Lastpage :
723
Abstract :
Monitoring and diagnosis of the operating machines are very important for safety operation and maintenance in the industrial fields. These machines are mostly rotating machines. In this paper, we propose fault detection and diagnosis method using the LPC (linear predictive coding) and residual signal energy. We applied our method to the induction motors depending on various status of faulted condition and could obtain good results.
Keywords :
asynchronous machines; computerised monitoring; condition monitoring; electric machine analysis computing; electric machines; fault diagnosis; linear predictive coding; machine testing; maintenance engineering; LPC residual signal energy; fault detection; fault diagnosis; induction motors; industrial machines; linear predictive coding; machinery condition monitoring; maintenance; operating machine diagnosis; rotating machines; safety operation; Acoustic noise; Condition monitoring; Equations; Fault detection; Linear predictive coding; Machinery; Mathematical model; Power system reliability; Speech analysis; Speech coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8943-3
Type :
conf
DOI :
10.1109/KORUS.2005.1507885
Filename :
1507885
Link To Document :
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