Orthogonal On-Rotor Sensing Vibrations for Condition Monitoring of Rotating Machines

Yuandong Xu, Xiaoli Tang, Guojin Feng, Dong Wang, Craig Ashworth, Fengshou Gu, Andrew Ball

Research output: Contribution to journalArticlepeer-review


Thanks to the fast development of micro-electro-mechanical systems (MEMS) technologies, MEMS accelerometers show great potentialities for machine condition monitoring. To overcome the problems of a poor signal to noise ratio (SNR), complicated modulation, and high costs of vibration measurement and computation using conventional integrated electronics piezoelectric accelerometers, a triaxial MEMS accelerometer-based on-rotor sensing (ORS) technology was developed in this study. With wireless data transmission capability, the ORS unit can be mounted on a rotating rotor to obtain both rotational and transverse dynamics of the rotor with a high SNR. The orthogonal outputs lead to a construction method of analytic signals in the time domain, which is versatile in fault detection and diagnosis of rotating machines. Two case studies based on an induction motor were carried out, which demonstrated that incipient bearing defect and half-broken rotor bar can be effectively diagnosed by the proposed measurement and analysis methods. Comparatively, vibration signals from translational on-casing accelerometers are less capable of detecting such faults. This demonstrates the superiority of the ORS vibrations in fault detection of rotating machines.
Original languageEnglish
Pages (from-to)29-36
JournalJournal of Dynamics, Monitoring and Diagnostics
Issue number1
Early online date21 Dec 2021
Publication statusPublished - Mar 2022

Bibliographical note

© The Author(s) 2022. This is an open access article published under the CC BY license (https://creativecommons.org/licenses/by/4.0/).


  • On-rotor sensing
  • vibration
  • condition monitoring
  • rotating machines


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