Title :
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
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860062
