Skip to main navigation Skip to search Skip to main content

Propeller Fault Diagnosis Using Wireless on Rotor Sensing Technology

Chun Li, Zhexiang Zou, Dongqin Li, Bing Li, Fengshou Gu, Andrew Ball

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

Abstract

Propellers, as the primary propulsion components of marine vessels, require real-time fault monitoring since their failure can lead to severe efficiency losses or catastrophic accidents. This study proposes a wireless triaxial on rotor sensing (ORS) system for propeller fault diagnosis, where the synchronized rotating ORS module extracts motor speed from the linear relationship between static centrifugal acceleration components and rotational velocity, enabling accurate determination of propeller fault frequencies. Experimental simulations of blade entanglement under varying speeds and loads demonstrate that the propeller fault frequency modulates with motor rotational frequency in Fast Fourier Transform (FFT) spectra, exhibiting significantly amplified sidebands that enable fault detection through sideband analysis. Compared to conventional on-hull sensing (OHS), the ORS system achieves superior signal-to-noise ratio (SNR), offering enhanced reliability for real-time marine propulsion diagnostics. The results validate the ORS-based method as an effective solution for propeller condition monitoring under dynamic operating conditions.

Original languageEnglish
Title of host publication2025 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1211-1215
Number of pages5
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

Fingerprint

Dive into the research topics of 'Propeller Fault Diagnosis Using Wireless on Rotor Sensing Technology'. Together they form a unique fingerprint.

Cite this