Machinery Fault Diagnosis and Prognosis: Application of Advanced Signal Processing Techniques

CIRP Annals ◽  
1999 ◽  
Vol 48 (1) ◽  
pp. 317-320 ◽  
Author(s):  
Jae Hong Suh ◽  
Soundar R.T. Kumara ◽  
Shreesh P. Mysore
Keyword(s):  
Signal Processing ◽  
Fault Diagnosis ◽  
Diagnosis And Prognosis ◽  
Processing Techniques ◽  
Fault Diagnosis And Prognosis ◽  
Signal Processing Techniques ◽  
Machinery Fault Diagnosis

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.

scholarly journals Gearbox Fault Diagnosis Based on Vibration Signals Measured Remotely

2009 ◽  
Vol 413-414 ◽  
pp. 175-180 ◽  
Author(s):  
Salem Al-Arbi ◽  
Feng Shou Gu ◽  
Lu Yang Guan ◽  
Andrew Ball ◽  
Abdelhamid Naid
Keyword(s):  
Signal Processing ◽  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Transmission System ◽  
Gear Transmission ◽  
Gear System ◽  
Vibration Signals ◽  
Remote Measurements ◽  
Processing Techniques ◽  
Signal Processing Techniques

In many cases, it is impractical to measure the vibrations directly at or close to their source. It is a common practice to measure the vibration at a location far from the source for condition monitoring purposes. The vibration measured in this way inevitably has high distortions from the vibrations due to the effect of the attenuation of signal paths and the interference from other sources. The suppression of the distortions is a key issue for the remote measurements based condition monitoring. In this paper, the influences of transducer locations are investigated on a typical gearbox transmission system for the detection of the faults induced to the gearbox. Several signal processing techniques’ analysis results show that the attenuation and interference cause high influences on the gear transmission signals. However, time synchronous average (TSA) is very effective to detect the local faults induced to the gear system.

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