Reducing Tachometer Jitter to Improve Gear Fault Detection

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Eric Bechhoefer Dave He

Abstract

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, zeroorder figure of merit, etc. Because the TSA is based on tachometer zero cross times for a key phasor, 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%.

How to Cite

Bechhoefer, E., & He, D. (2016). Reducing Tachometer Jitter to Improve Gear Fault Detection. Annual Conference of the PHM Society, 8(1). https://doi.org/10.36001/phmconf.2016.v8i1.2558
Abstract 37 | PDF Downloads 12

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Keywords

time synchronous average, gear fault detection, tachometer, jitter, separation

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Section
Technical Papers

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