Publication detail

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

OTAVA, L. BUCHTA, L.

Original Title

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

English Title

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

Type

conference paper

Language

en

Original Abstract

This paper is focused on stator winding fault detection of a permanent magnet synchronous motor (PMSM). Open phase fault and interturn fault in one phase are considered. Differences between stator resistances are considered as a fault symptom. The estimation of stator resistances is based on Extended Kalman Filter (EKF) with three phase PMSM electrical model. The fault detection method was verified offline on measured experimental data from the PMSM test platform with emulated faults.

English abstract

This paper is focused on stator winding fault detection of a permanent magnet synchronous motor (PMSM). Open phase fault and interturn fault in one phase are considered. Differences between stator resistances are considered as a fault symptom. The estimation of stator resistances is based on Extended Kalman Filter (EKF) with three phase PMSM electrical model. The fault detection method was verified offline on measured experimental data from the PMSM test platform with emulated faults.

Keywords

Faulted detection, stator winding fault, PMSM, EKF

Released

24.10.2016

Publisher

IEEE

Location

Florence, Italy

ISBN

978-1-5090-3474-1

Book

Industrial Electronics Society , IECON 2016 - 42nd Annual Conference of the IEEE

Pages from

1536

Pages to

1541

Pages count

6

BibTex


@inproceedings{BUT127381,
  author="Lukáš {Otava} and Luděk {Buchta}",
  title="Permanent Magnet Synchronous Motor Stator Winding Fault Detection",
  annote="This paper is focused on stator winding fault detection of
a permanent magnet synchronous motor (PMSM). Open phase fault and interturn fault in one phase are considered. Differences between stator resistances are considered as a fault symptom. 
 The estimation of stator resistances is based on Extended Kalman Filter (EKF) with three phase PMSM electrical model. The fault detection method was verified offline on measured experimental data from the PMSM test platform with emulated faults.
",
  address="IEEE",
  booktitle="Industrial Electronics Society , IECON 2016 - 42nd Annual Conference of the IEEE",
  chapter="127381",
  doi="10.1109/IECON.2016.7793941",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2016",
  month="october",
  pages="1536--1541",
  publisher="IEEE",
  type="conference paper"
}