Abstract
Condition monitoring indicators for pitting detection in planetary gear units
Highlights
Every machine with moving components gives rise to vibrations and noise; depending on its operating status, a specific “vibratory signature” characterizes each machine
The analysis is hereinafter performed on the sun gear of the second stage for both gearboxes, the metrics have been computed for the Time Synchronous Average (TSA) of the planets and the sun of all the stages
The present study has described a new metric of the TSA for pitting detection in planetary gearboxes and its effectiveness is evaluated through an accelerated fatigue test, designed to promote the pitting phenomenon on the sun gear
Summary
Every machine with moving components gives rise to vibrations and noise; depending on its operating status, a specific “vibratory signature” characterizes each machine. Localized gear defects typically introduce non-stationary components into the signal [10], which cannot be studied by conventional frequency analysis techniques In this scenario, the adoption of advanced techniques based on the time-frequency domain such as the Continuous Wavelet Transform (CWT) [10, 19, 20]. The present work concerns the development of a new TSA-based metric, namely NA4mod, for pitting detection in planetary gearboxes. Such a metric is based on the fourth-order statistical moment, developed as a modification of metric NA4 introduced in Refs.
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