Condition monitoring approach for permanent magnet synchronous motor drives based on the INFORM method

Arellano-Padilla, J., Sumner, M. and Gerada, C. (2016) Condition monitoring approach for permanent magnet synchronous motor drives based on the INFORM method. IET Electric Power Applications, 10 (1). pp. 55-62. ISSN 1751-8679

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This paper proposes a monitoring scheme based on saliency tracking to assess the health condition of PMSM drives operating under non stationary conditions. The evaluated scheme is based on the INFORM methodology, which is associated to the accurate sensorless control of PM drives without zero speed limitation. The result is a monitoring scheme that is able to detect faults that would be very difficult to evaluate under nonstationary conditions. A relevant aspect of the proposed scheme is that it remains valid for full speed range, and can be used for standstill operation. Additionally, the approach is insensitive to the inverter nonlinearities which enhance the detection capabilities further respect to similar topologies.

In this work the proposed approach is evaluated numerically and experimentally in the presence of incipient winding faults and inter-turn short circuits in a PM conventional drive. The obtained results show quick response and excellent detection capabilities not only in the detection of faults, but to determine their magnitude which is vital to avoid further degradation.

Item Type: Article
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Electric Power Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Keywords: Condition monitoring, Fault diagnosis, Machine windings, Permanent magnet motors, Synchronous motor drives
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number:
Depositing User: Burns, Rebecca
Date Deposited: 19 Apr 2016 14:28
Last Modified: 04 May 2020 17:24

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