The study of fault diagnosis in rotating machinery

Author

Othman, Nor Azlan ; Damanhuri, Nor Salwa ; Kadirkamanathan, Visakan

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Mara (UiTM), Permatang Pauh

fYear

2009

fDate

6-8 March 2009

Firstpage

69

Lastpage

74

Abstract

This project presents a detail review of the subject fault diagnosis; feature extraction, dimensionality reduction and fault classification are being discussed. This project focuses on the faulty bearing which mainly caused by mass imbalance and axis misalignment. By analyzing the vibration signal obtained from the test rigs (rigs that are built to demonstrate the effect of faults in rotating machinery), it gives solid information concerning any faults within the rotating machinery.

Keywords

condition monitoring; fault diagnosis; feature extraction; maintenance engineering; signal processing; turbomachinery; vibrations; fault classification; fault diagnosis; feature extraction; pattern recognition techniques; rotating machinery; test rigs; vibration signal; Data acquisition; Fault detection; Fault diagnosis; Feature extraction; Machinery; Neural networks; Pattern recognition; Rotating machines; Signal analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-4151-8

Electronic_ISBN

978-1-4244-4152-5

Type

conf

DOI

10.1109/CSPA.2009.5069191

Filename

5069191