Title :
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
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;
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
DOI :
10.1109/CSPA.2009.5069191
