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