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Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Marine Propulsion Motor

Xinyi Yang, Muquan Chen, Hao Yang, Chun Li, Zhexiang Zou, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As a critical component of marine electric propulsion systems, the propulsion motor frequently operates under sustained high-load conditions in harsh marine environments characterised by elevated humidity, temperature, and salinity. Such demanding conditions often precipitate component failures, while external disturbances including wake turbulence, wave impacts, and fluctuating air currents further destabilise motor speed and torque, causing non-stationary operational behaviour. Consequently, vibration signals become dispersed and exhibit spectral smearing, complicating the extraction of characteristic features related to motor bearing faults. Accurate estimation of instantaneous frequency is therefore essential to ensure effective tacholess order tracking under variable speed conditions. This study proposes a current-aided order tracking method for vibration signal analysis in propulsion motors, leveraging zero-crossing points within current signals for precise instantaneous frequency estimation and angular resampling. Envelope spectrum demodulation is subsequently employed to extract fault-specific spectral characteristics, significantly aiding the detection and diagnosis of mechanical faults. The effectiveness and robustness of the proposed method were validated experimentally using a small-scale marine propulsion system under varying speed conditions. Results demonstrated reliable identification of bearing outer race faults, substantially enhancing diagnostic accuracy and suggesting broader applicability and improved reliability for fault diagnostics in fluctuating marine operational contexts.

Original languageEnglish
Title of host publication2025 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages322-327
Number of pages6
Edition1st
ISBN (Electronic)9798331512347
ISBN (Print)9798331512354
DOIs
Publication statusPublished - 19 Nov 2025
Event2025 International Conference on Intelligent Operation and Maintenance of Equipment - Ürümqi, China
Duration: 1 Aug 20253 Aug 2025
https://iceiom2025.aconf.org/index.html

Conference

Conference2025 International Conference on Intelligent Operation and Maintenance of Equipment
Abbreviated titleICEIOM 2025
Country/TerritoryChina
CityÜrümqi
Period1/08/253/08/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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