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Publication detail
OTAVA, L.
Original Title
Implementation of PMSM Inter-turn Short Fault Detection Using Frequency Analysis of Stator Currents
Type
conference paper
Language
English
Original Abstract
This paper deals with the fault detection of the Permanent Magnet Synchronous Machine (PMSM) stator winding interturn short circuit. The fault detection method is based on Motor Current Signature Analysis (MCSA). Key part of paper describes implementation of the spectral analysis fault detection method cooperated with the field oriented control (FOC) algorithm on Cortex-M4 microcontroller. This control system was utilized with low voltage PMSM with the interturn short fault emulation. Experimental results measured on PMSM test bench are important part of this paper.
Keywords
Design and Implementation of Signal Processing Systems, Microprocessor Based Control Systems, Interturn short, PMSM, Fault detection, FFT, ARM Cortex-M4, MCSA
Authors
Released
23. 12. 2016
Publisher
Elsevier
ISBN
2405-8963
Periodical
IFAC-PapersOnLine (ELSEVIER)
Year of study
49
Number
25
State
Kingdom of the Netherlands
Pages from
86
Pages to
91
Pages count
6
BibTex
@inproceedings{BUT128742, author="Lukáš {Otava}", title="Implementation of PMSM Inter-turn Short Fault Detection Using Frequency Analysis of Stator Currents", booktitle="14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5—7 October 2016", year="2016", journal="IFAC-PapersOnLine (ELSEVIER)", volume="49", number="25", pages="86--91", publisher="Elsevier", doi="10.1016/j.ifacol.2016.12.015", issn="2405-8963" }