HEALTH MONITORING AND ECCENTRICITY FAULT DIAGNOSIS OF INDUCTION MOTOR BY SIGNAL PROCESSING TECHNIQUES

2019 ◽  
Vol 7 (3) ◽  
pp. 9
Author(s):  
MOINSIDDIQUI KHADIM ◽  
KUMAR CHAUHAN BHAVESH ◽  
BALA GARG SONU ◽  
◽  
◽  
...  
Keyword(s):  
Signal Processing ◽  
Fault Diagnosis ◽  
Induction Motor ◽  
Health Monitoring ◽  
Processing Techniques ◽  
Signal Processing Techniques

A Brief Review on Fault Diagnosis of Rotating Machineries

2014 ◽  
Vol 541-542 ◽  
pp. 635-640 ◽  
Author(s):  
S.P. Mogal ◽  
D.I. Lalwani
Keyword(s):  
Signal Processing ◽  
Fourier Transform ◽  
Fault Diagnosis ◽  
Vibration Signal ◽  
Response Measurement ◽  
Rotor Systems ◽  
Vibration Data ◽  
Systems Model ◽  
Processing Techniques ◽  
Signal Processing Techniques

Vibration in any rotating machines is due to faults like misalignment, unbalance, crack, mechanical looseness etc. Identification of these faults in rotor systems, model and vibration signal based methods are used. Signal processing techniques such as Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), Wigner-Ville Distribution (WVD) and Wavelet Transform (WT) are applied to vibration data for faults identification. The intent of the paper is to present a review and summarize the recent research and developments performed in condition monitoring of rotor system with the purpose of rotor faults detection. In present paper discuss the different signal processing techniques applied for fault diagnosis. Vibration response measurement has given information concerning any fault within a rotating machine and many of the methods utilizing this technique are reviewed. A detail review of the subject of fault diagnosis in rotating machinery is presented.

Sign in / Sign up

Export Citation Format

Share Document