Fault detection of gearbox using time-frequency method

This research deals with fault detection and diagnosis of gearbox by using vibration signature. In this work, fault detection and diagnosis are approached by employing time-frequency method, and then the results are compared with cepstrum analysis. Experimental work has been conducted for data acqui...

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Bibliographic Details
Main Authors: Widodo, A., Satrijo, Dj, Prahasto, T., Haryanto, I.
Format: Conference Proceeding
Language:English
Subjects:
Accelerometers
Bees
Breakage
Cepstral analysis
Fast Fourier transformations
Fault detection
Fault diagnosis
Fourier transforms
Frequency domain analysis
Gearboxes
Rotating shafts
Teeth
Vibration analysis
Wavelet transforms
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Summary:This research deals with fault detection and diagnosis of gearbox by using vibration signature. In this work, fault detection and diagnosis are approached by employing time-frequency method, and then the results are compared with cepstrum analysis. Experimental work has been conducted for data acquisition of vibration signal thru self-designed gearbox test rig. This test-rig is able to demonstrate normal and faulty gearbox i.e., wears and tooth breakage. Three accelerometers were used for vibration signal acquisition from gearbox, and optical tachometer was used for shaft rotation speed measurement. The results show that frequency domain analysis using fast-fourier transform was less sensitive to wears and tooth breakage condition. However, the method of short-time fourier transform was able to monitor the faults in gearbox. Wavelet Transform (WT) method also showed good performance in gearbox fault detection using vibration signal after employing time synchronous averaging (TSA).
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4981194