Numerical Modelling of Vibration Responses of Helical Gears under Progressive Tooth Wear for Condition Monitoring

Vibration Health Monitoring of Gears

Vibration Monitoring for Fault Diagnosis of Helicopter Planetry Gears

In this paper, vibration data analysis techniques are investigated for fault diagnosis of helicopter planetary gears. A data pre-processing technique is introduced that achieves the same result as the commonly used Time Synchronous Averaging with much lower computational complexity since interpolation is not required. A notion of using raw vibration data instead of the Time Synchronous Averaged...

Condition Indicators for Gears

Diagnostics of faults in gears requires development of reliable condition indicators. A large number of condition indicators, which are based on statistical moments of the synchronous average and its derivatives (difference and residual signals) were previously suggested. This study evaluates the efficiency of different gear condition indicators that are based on statistical moments and compare...

A Real Time Condition Monitoring System for Gears Operating under Variable Load Conditions

Received Jun 9, 2017 Revised Nov 20, 2017 Accepted Dec 11, 2017 Gears are important component of the rotational power transmission system and are largely used in variable load and speed applications. The faults on the gear generate excessive vibration which leads to breakdown of the machine. Sensor based methods could diagnose gear faults but proved to be expensive and have limited applications...

Evaluation of a profilometrical method for monitoring erosive tooth wear.

The in vivo monitoring of erosive wear is difficult because lesions mostly progress relatively slowly and reliable reference points are difficult to obtain. To date, only a few methods for clinical monitoring of erosive loss have been described, which either require extensive equipment or do not provide sufficient sensitivity. The aim of the present study was to evaluate, using study models (ep...