Analysis of Progressively Unbalanced Induction Motor Current Signals Based on Information Entropy

Authors

  • Ignas Andrijauskas
  • Rimas Adaskevicius

DOI:

https://doi.org/10.5755/j01.eie.24.4.21472

Keywords:

Induction motors, Information entropy, Unbalance, Wavelet packets.

Abstract

The article presents the capabilities of a new fault identification method used for different fault levels. The method allows identifying unbalanced induction motor by only using stator current signals. The signal analysis was done by using wavelet packet decomposition and reconstruction (WPDR) and information entropy methods. The validation of proposed method was carried out by comparing unbalanced fault progressive simulation and experimentally obtained results. The experimental results were also analysed to identify the most band of frequencies (node) for the proposed method. Signals were divided into five overlapped time intervals in order to investigate which interval is the most informative for fault diagnosis.

DOI: http://dx.doi.org/10.5755/j01.eie.24.4.21472

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Published

2018-08-20

How to Cite

Andrijauskas, I., & Adaskevicius, R. (2018). Analysis of Progressively Unbalanced Induction Motor Current Signals Based on Information Entropy. Elektronika Ir Elektrotechnika, 24(4), 15-19. https://doi.org/10.5755/j01.eie.24.4.21472

Issue

Vol. 24 No. 4 (2018)

Section

ELECTRICAL ENGINEERING

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