A rotary machinery fault diagnosis approach based on rough set theory

Author

Tao, Hu ; Bingchao, L?¼ ; Guangju, Chen

Author_Institution

Dept. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2000

fDate

6/22/1905 12:00:00 AM

Firstpage

685

Abstract

Rotary machinery fault diagnosis can be treated as a pattern classification task. Based on the vibration characteristic spectrum, a rotary machinery fault diagnosis approach using the rough set theory is proposed. Accurate diagnostic results can be obtained directly from a set of complete fault spectrum samples; satisfactory diagnostic results can also be derived from a set of incomplete fault spectrum samples using the approach. The inherent redundancy in the spectrum information is revealed. The approach presents a new idea to rotary machinery fault diagnosis based on incomplete characteristics. Examples show that the proposed approach is very effective

Keywords

fault diagnosis; pattern classification; redundancy; rough set theory; spectral analysis; turbogenerators; vibrations; fault diagnosis; gas turbogenerator; inherent redundancy; rotary machinery; rough set theory; spectral analysis; vibration characteristic spectrum; Automation; Fault diagnosis; Machinery; Pattern classification; Redundancy; Set theory; Turbogenerators;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.860062

Filename

860062