Failure diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

Author

Chen, Peng ; Toyota, Toshio ; Taniguchi, Masatoshi ; Feng, Fang ; Hiho, Tomoya

Author_Institution

Fac. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan

Volume

2

fYear

2000

fDate

2000

Firstpage

640

Abstract

The paper proposes a failure diagnosis method for machinery in unsteady operating condition using instantaneous power spectrum (IPS) and genetic programming (GP). The IPS is used to extract feature frequency of each machine state from measured vibration signal for distinguishing failures by the Relative Crossing Information (RCI). Excellent symptom parameters for detecting failures are automatically generated by GP. The method proposed in the paper is verified by applying it to the failure diagnosis of rolling bearing

Keywords

computerised monitoring; condition monitoring; fault diagnosis; genetic algorithms; machine tools; mechanical engineering computing; GP; IPS; Relative Crossing Information; failure diagnosis; failure diagnosis method; feature frequency extraction; genetic programming; instantaneous power spectrum; machine state; machinery; measured vibration signal; rolling bearing; symptom parameters; unsteady operating condition; Computer science; Data mining; Feature extraction; Frequency domain analysis; Frequency measurement; Genetic programming; Machinery; Systems engineering and theory; Time measurement; Vibration measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on

Conference_Location

Brighton

Print_ISBN

0-7803-6400-7

Type

conf

DOI

10.1109/KES.2000.884128

Filename

884128