Fault diagnosis of planetary gearboxes via processing the on-rotor MEMS accelerometer signals

Zainab Mones, Dong Zhen, Ibrahim Alqatawneh, Qiang Zeng, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Planetary gearboxes are widely used in drivetrains of helicopters, wind turbines, and heavy industrial applications. Since the role of complex planetary gearboxes is quite important and their failure may cause a shutdown of the entire train resulting in major economic losses, condition monitoring of planetary gearboxes has received significant attention. The installation of conventional accelerometers on the machine's housing can fail to provide accuracy in diagnosing planetary gearbox faults, due to the alterations in planet gear mesh excitation with the carrier. Advances in low-cost and low-power Micro-Electro-Mechanical Systems (MEMS) technology allow the MEMS accelerometer to be installed onto the rotating shaft directly, and this implies that the rotating machine's dynamic features can be measured more accurately. This paper examines the characteristics of the rotating acceleration signals measured by on-rotor MEMS accelerometer installed on the low-speed input shaft of a planetary gearbox. The experimental results show that by investigating the frequency spectra of the on-rotor accelerometer measurements, different faults of planetary gearbox can be clearly diagnosed, thus providing a reliable and low-cost method for the condition monitoring of planetary gearbox.

Original languageEnglish
Title of host publication2018 24th IEEE International Conference on Automation and Computing (ICAC)
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781862203426, 9781862203419
ISBN (Print)9781538648919
DOIs
Publication statusPublished - 1 Jul 2019
Event24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing - Newcastle University, Newcastle upon Tyne, United Kingdom
Duration: 6 Sep 20187 Sep 2018
Conference number: 24
https://ieeexplore.ieee.org/xpl/conhome/8742895/proceeding (Website Containing the Proceedings)
http://www.cacsuk.co.uk/index.php/conferences/icac (Link to Conference Information)

Conference

Conference24th IEEE International Conference on Automation and Computing
Abbreviated titleICAC 2018
CountryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18
Internet address

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  • Cite this

    Mones, Z., Zhen, D., Alqatawneh, I., Zeng, Q., Gu, F., & Ball, A. D. (2019). Fault diagnosis of planetary gearboxes via processing the on-rotor MEMS accelerometer signals. In X. Ma (Ed.), 2018 24th IEEE International Conference on Automation and Computing (ICAC): Improving Productivity through Automation and Computing [8749050] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2018.8749050