Detection of induction motor bearing damage with starting current analysis using wavelet discrete transform and artificial neural network

Eva Navasari, Dimas Anton Asfani, Made Yulistya Negara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Bearing damage in induction motor is one of the most common fault. The type of bearing damage itself consists of damage to the inner-race, outer-race and ball bearing. The occurrence of this bearing damage may cause increased vibration, temperature rise and may cause damage to the shafts, rotor and stator. To speed up the repair process, bearing damage detection should be classified according to the type of damage occurring. In this study, bearing damage will be detected by transient current analysis using discrete wavelet transform method. To determine the occurrence of damage, processing of transient current signals using discrete wavelet transforms performed by comparing the signal sub-band frequency at normal bearings and during fault. Furthermore, artificial neural networks are used to provide information on classification of types of fault. Analysis of result show that the presentage of successness classification as 100% for inner-race damage, 98% for outter-race damage and 100% for ball bearing damage. With the classification of damage to this bearing, it is expected to simplify and speed up the repair process.

Original languageEnglish
Title of host publicationProceedings of 2018 10th International Conference on Information Technology and Electrical Engineering
Subtitle of host publicationSmart Technology for Better Society, ICITEE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages316-319
Number of pages4
ISBN (Electronic)9781538647394
DOIs
Publication statusPublished - 13 Nov 2018
Event10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia
Duration: 24 Jul 201826 Jul 2018

Publication series

NameProceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018

Conference

Conference10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018
Country/TerritoryIndonesia
CityBali
Period24/07/1826/07/18

Keywords

  • Analysis of starting current
  • Artificial Neural Network
  • Bearing
  • Discrete wavelet transform
  • Induction motor

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