@inproceedings{1dee34b3fce940478c309677e291b9ef,
title = "Redundant continuous wavelet transform for fault detection and diagnosis",
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.",
keywords = "Fault detection, Redundancy, Vibration signal, Wavelet transform",
author = "S. Seker and Upadhyaya, \{B. R.\} and T. Senguler and Kayran, \{A. H.\}",
year = "2010",
language = "English",
isbn = "9781617822667",
series = "7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010",
pages = "264--272",
booktitle = "7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010",
note = "7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010 ; Conference date: 07-11-2010 Through 11-11-2010",
}