Publication detail

Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation

ZEZULA, L. KOZOVSKÝ, M. BLAHA, P.

Original Title

Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation

Type

journal article in Web of Science

Language

English

Original Abstract

This article presents novel model-based diagnostics of interturn short circuits in permanent magnet synchronous machines that enable estimating fault location and its severity, even during transients. The proposed method utilizes recursive parametric estimation and model comparison approaches cast in a decision-making framework to track motor parameters and fault indicators from a machine's discrete-time model. The discrete-time prototype is derived from an advanced motor model that reflects the stator winding arrangement in a motor's case. The fault detection is then performed by tracking the changes in the estimated probability density function of the electrical parameters, using the Kullback-Leibler divergence. The fault location is subsequently evaluated by performing a recursive comparison of the predefined fault models in the different phases, utilizing a growing-window approach. Ultimately, a parametric estimation algorithm applied to the fault current model allows identifying the fault severity. The diagnostic algorithm has been validated via laboratory experiments, and its capabilities are compared with other approaches enabling severity estimation.

Keywords

Discrete-time systems; fault detection; fault diagnosis; fault location; parameter estimation; permanent magnet motors; recursive estimation

Authors

ZEZULA, L.; KOZOVSKÝ, M.; BLAHA, P.

Released

27. 2. 2024

Publisher

IEEE

ISBN

0278-0046

Periodical

IEEE Transactions on Industrial Electronics

Year of study

71

Number

11

State

United States of America

Pages from

15001

Pages to

15011

Pages count

11

URL

https://ieeexplore.ieee.org/document/10449893

Full text in the Digital Library

http://hdl.handle.net/11012/245247

BibTex

@article{BUT188175,
  author="Lukáš {Zezula} and Matúš {Kozovský} and Petr {Blaha}",
  title="Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation",
  journal="IEEE Transactions on Industrial Electronics",
  year="2024",
  volume="71",
  number="11",
  pages="15001--15011",
  doi="10.1109/TIE.2024.3363775",
  issn="0278-0046",
  url="https://ieeexplore.ieee.org/document/10449893"
}