Gear Diagnostics – Fault Type Characteristics

Alexander Bliznyuk, Ido Dadon, Renata Klein, and Jacob Bortman
Submission Type: 
Full Paper
phmc_14_019.pdf1.13 MBSeptember 20, 2014 - 4:39am

To date, the majority of existing Condition Indicators for gears are based on various statistical moments of a recorded time history. A more detailed analysis proposed in this study, shall provide an auxiliary tool that enables the identification of faulty gearwheel and fault type in the system.
In this work, a combined analytical and empiric approach is applied. This approach is based on the assumption that reliable dynamic models can be utilized to predict the effects of faults on vibrational patterns. Analytical model generated signatures are used to verify and explain experimental findings.
A spur gear transmission setup was used for experiments, along with an electric AC motor and a friction belt loading device. The experiments included varying load and speed settings. Two types of faults, spalling fault and tooth root crack, were seeded in both gears. The effect on different extracted signal features is examined. A basis for future work on prognostics capabilities is laid by a varying degree of tooth root crack fault.
The purpose of this study is to evaluate fault detection capabilities of proposed diagnostic tools at the presence of two seeded faults of varying severity, verified by an analytical model.

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Submission Keywords: 
gear damage diagnostics
gear fault detection
Submission Topic Areas: 
Component-level PHM
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