Reducing Tachometer Jitter to Improve Gear Fault Detection

Eric Bechhoefer and David He
Submission Type: 
Full Paper
phmc_16_035.pdf2.86 MBAugust 27, 2016 - 4:53pm

Much research has been published on gear fault analysis techniques, almost all based on the time synchronous average (TSA). These include and are not limited to: residual analysis, energy operator, energy ratio, amplitude modulation, frequency modulation, sideband index, zero-order figure of merit, etc. Because the TSA is based on tachometer zero cross times, the performance of these analyses is dependent on the quality of the tachometer data. The tachometer signal always has jitter, due to electrical noise, magnetic noise, or manufacturing spacing error of the tachometer target (e.g. gear tooth spacing). By implementing a novel zero phase filter to reduce tachometer jitter, large improvements in the fault detection were observed. For a known gear fault, the separability, related to fault detection, increased from 10 to 25%.

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Submission Keywords: 
time synchronous average
gear fault detection
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
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