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Open AccessArticle

A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments

1
Centre for Asset Integrity Management, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0002, South Africa
2
Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland
3
Laboratory of Mechanics, Modelling and Production, National School of Engineers of Sfax, BP1173, Sfax 3038, Tunisia
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2115; https://doi.org/10.3390/s20072115
Received: 15 March 2020 / Revised: 3 April 2020 / Accepted: 7 April 2020 / Published: 9 April 2020
Reliable condition indicators are necessary to perform effective diagnosis and prognosis. However, the vibration signals are often corrupted with non-Gaussian noise and rotating machines may operate under time-varying operating conditions. This impedes the application of conventional condition indicators. The synchronous average of the squared envelope is a relatively simple yet effective method to perform fault detection, fault identification and fault trending under constant and time-varying operating conditions. However, its performance is impeded by the presence of impulsive signal components attributed to impulsive noise or the presence of other damage modes in the machine. In this work, it is proposed that the synchronous median of the squared envelope should be used instead of the synchronous average of the squared envelope for gearbox fault diagnosis. It is shown on numerical and experimental datasets that the synchronous median is more robust to the presence of impulsive signal components and is therefore more reliable for estimating the condition of specific machine components. View Full-Text
Keywords: gearbox diagnostics; synchronous median of the squared envelope; time-varying operating conditions gearbox diagnostics; synchronous median of the squared envelope; time-varying operating conditions
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MDPI and ACS Style

Schmidt, S.; Zimroz, R.; Chaari, F.; Heyns, P.S.; Haddar, M. A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments. Sensors 2020, 20, 2115.

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