Detail publikačního výsledku

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

OTAVA, L.; BUCHTA, L.

Originální název

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

Anglický název

Permanent Magnet Synchronous Motor Stator Winding Fault Detection

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Faulted detection, stator winding fault, PMSM, EKF

Klíčová slova v angličtině

Faulted detection, stator winding fault, PMSM, EKF

Autoři

OTAVA, L.; BUCHTA, L.

Rok RIV

2017

Vydáno

24.10.2016

Nakladatel

IEEE

Místo

Florence, Italy

ISBN

978-1-5090-3474-1

Kniha

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

Strany od

1536

Strany do

1541

Strany počet

6

BibTex

@inproceedings{BUT127381,
  author="Lukáš {Otava} and Luděk {Buchta}",
  title="Permanent Magnet Synchronous Motor Stator Winding Fault Detection",
  booktitle="Industrial Electronics Society , IECON 2016 - 42nd Annual Conference of the IEEE",
  year="2016",
  pages="1536--1541",
  publisher="IEEE",
  address="Florence, Italy",
  doi="10.1109/IECON.2016.7793941",
  isbn="978-1-5090-3474-1"
}