Fault signal propagation through the PMSM motor drive systems

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Li, Jing, Sumner, M., Arellano-Padilla, J. and Zhang, He (2017) Fault signal propagation through the PMSM motor drive systems. IEEE Transactions on Industry Applications, 53 (3). pp. 2915-2924. ISSN 1939-9367

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Abstract

This paper describes how a mechanical disturbance on the shaft of a variable speed permanent magnet motor (PMSM) is propagated to the supply input side of the drive system, and therefore may be detected by monitoring specific frequency components in the rectifier input current. The propagation of the disturbance from the torque disturbance, to the motor current, then to the dc link current and finally to the rectifier input current is derived as a series of transfer functions so that both the frequency and the amplitude of the disturbance component in the rectifier input current can be predicted for a specific mechanical disturbance. The limitations to detect the mechanical fault by monitoring only the supply currents are also addressed. Simulation and experimental results are presented to demonstrate the accuracy of the quantitative analysis, and the potential for fault detection using the rectifier input currents.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/848285
Additional Information: (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Mechanical Faults, Motor Drive System, Fault Signal Propagation, PWM inverter, Fault Detection
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Electrical and Electronic Engineering
University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TIA.2017.2677881
Depositing User: Burns, Rebecca
Date Deposited: 08 Mar 2017 12:50
Last Modified: 04 May 2020 18:36
URI: https://eprints.nottingham.ac.uk/id/eprint/41147

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