Sürekli dalgacik dönüşümü ile elektrik motorlarinda ariza tanisi üzerine bir i̇nceleme

Translated title of the contribution: A study on continuous wavelet transform for fault detection in electric motors

Emine Ayaz*, Ahmet Öztürk, Serhat Şeker

*Corresponding author for this work

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

Abstract

The purpose of this paper is to extract features from vibration signals measured from induction motors subjected to accelerated bearing fluting aging. The signals taken from accelerometers placed near to process end bearing were first combined using simple sensor fusion method and then spectral analysis and time-scale analysis were performed. Fused vibration signals were decomposed into several scales using continuous wavelet transform analysis and selected scales was further investigated to get detailed information relating to bearing damage features. And also the advantage of the continuous wavelet transform over Fourier transform was emphasized in terms of getting the bearing damage between 2-4 kHz and this frequency band was interpreted as a joint feature for both of the healthy and aged motor cases. And also, the transfer function to indicate the bearing damage was reperesented.

Translated title of the contributionA study on continuous wavelet transform for fault detection in electric motors
Original languageTurkish
Title of host publication2006 IEEE 14th Signal Processing and Communications Applications Conference
DOIs
Publication statusPublished - 2006
Event2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Duration: 17 Apr 200619 Apr 2006

Publication series

Name2006 IEEE 14th Signal Processing and Communications Applications Conference
Volume2006

Conference

Conference2006 IEEE 14th Signal Processing and Communications Applications
Country/TerritoryTurkey
CityAntalya
Period17/04/0619/04/06

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