Redundant continuous wavelet transform for fault detection and diagnosis

Şeker Ş. S., Upadhyaya B., Senguler T., Kayran A. H.

7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010, Las Vegas, NV, United States Of America, 7 - 11 November 2010, vol.1, pp.264-272 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Las Vegas, NV
  • Country: United States Of America
  • Page Numbers: pp.264-272
  • Keywords: Fault detection, Redundancy, Vibration signal, Wavelet transform
  • Istanbul Technical University Affiliated: Yes

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.