Redundant continuous wavelet transform for fault detection and diagnosis

S. Seker*, B. R. Upadhyaya, T. Senguler, A. H. Kayran

*Corresponding author for this work

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

Abstract

In this study, wavelet frames and continuous wavelet transform (CWT), as an example of the redundant transform are considered for signal analysis and fault detection. For this purpose, test data are represented by several scales on time-scale plane using the CWT and then the information is combined to reconstruct the original data. However, this reconstructed signal is a redundant signal and it reflects some different information from the test data. Therefore, this redundant information can be used for fault detection problems. As numerical results of this study, the bearing damage characteristics of an induction motor are determined between 2 and 4 kHz by the vibration signal in the healthy motor case.

Original languageEnglish
Title of host publication7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Pages264-272
Number of pages9
Publication statusPublished - 2010
Event7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010 - Las Vegas, NV, United States
Duration: 7 Nov 201011 Nov 2010

Publication series

Name7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Volume1

Conference

Conference7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/11/1011/11/10

Keywords

  • Fault detection
  • Redundancy
  • Vibration signal
  • Wavelet transform

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