Detail publikace

INTER TURN SHORT-CIRCUIT DETECTION IN VECTOR CONTROLLED PMS MOTOR USING AI

ZEZULA, L.

Originální název

INTER TURN SHORT-CIRCUIT DETECTION IN VECTOR CONTROLLED PMS MOTOR USING AI

Anglický název

INTER TURN SHORT-CIRCUIT DETECTION IN VECTOR CONTROLLED PMS MOTOR USING AI

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

čeština

Originální abstrakt

This paper deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by a convolution neural network from adequately preprocessed current signals of the stator phases. The goal is to create a model within which different severity of inter turn faults will be simulated. Data from the simulations are preprocessed and transformed using Wavelet transform and the resulting scalograms are fed to a pre-trained convolution neural network GoogLeNet. This neural network’s diagnostic capabilities are tested on a physical drive, capable of emulating faults.

Anglický abstrakt

This paper deals with the diagnostics of inter turn faults in a vector controlled synchronous motor with permanent magnets. Inter turn faults are detected by a convolution neural network from adequately preprocessed current signals of the stator phases. The goal is to create a model within which different severity of inter turn faults will be simulated. Data from the simulations are preprocessed and transformed using Wavelet transform and the resulting scalograms are fed to a pre-trained convolution neural network GoogLeNet. This neural network’s diagnostic capabilities are tested on a physical drive, capable of emulating faults.

Klíčová slova

PMSM, ITF, Inter turn fault, Inter turn short-circuit, Vector control, Convolutional neural network, Motor fault diagnostics

Klíčová slova v angličtině

PMSM, ITF, Inter turn fault, Inter turn short-circuit, Vector control, Convolutional neural network, Motor fault diagnostics

Autoři

ZEZULA, L.

Vydáno

23. 4. 2020

ISBN

978-80-214-5867-3

Kniha

Proceedings I of the 26th Conference STUDENT EEICT 2020

Číslo edice

1

Strany od

63

Strany do

66

Strany počet

4

BibTex

@inproceedings{BUT179036,
  author="Lukáš {Zezula}",
  title="INTER TURN SHORT-CIRCUIT DETECTION IN VECTOR CONTROLLED PMS MOTOR USING AI",
  booktitle="Proceedings I of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  number="1",
  pages="63--66",
  isbn="978-80-214-5867-3"
}