Paper
23 March 2001 Gearbox failure prediction using infrared camera
Chi-Man Kwan, Roger Xu, Leonard S. Haynes
Author Affiliations +
Abstract
This paper summarizes our results on gearbox failure prediction using infrared camera. Experimental data was taken at the Mechanical Diagnostic Test Bed (MDTB) of the Penn State University. It was observed that there is thermal growth before a gearbox failure occurs. One explanation is that friction between gears increases before the gear breaks. A neural net based image-processing tool was developed by Intelligent Automation, Inc. (IAI) to process the infrared images in real-time. Results show that our tool can detect unusual thermal growth five hours before one of the gear teeth was broken.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi-Man Kwan, Roger Xu, and Leonard S. Haynes "Gearbox failure prediction using infrared camera", Proc. SPIE 4360, Thermosense XXIII, (23 March 2001); https://doi.org/10.1117/12.421003
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Failure analysis

Thermography

Principal component analysis

Infrared cameras

Neural networks

Infrared imaging

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