Time-frequency diagnosis, condition monitoring, and fault detection

Powers, E. J., Shin, Y. -J., Mack Grady, W., Bohme, J. F., Carstens-Behrens, S., Papandreou-Suppappola, A., Hlawatsch, F., Boudreaux-Bartels, G. F., Beghdadi, A., Iordache, R., Boashash, B., Djebbari, A., Ouelha, S. and Onchis, D. M. (2016). Time-frequency diagnosis, condition monitoring, and fault detection. In Boualem Boashash (Ed.), Time-frequency signal analysis and processing: a comprehensive reference Second edition ed. (pp. 857-913) Amsterdam, Netherlands: Academic Press. doi:10.1016/B978-0-12-398499-9.00015-7

Author Powers, E. J.
Shin, Y. -J.
Mack Grady, W.
Bohme, J. F.
Carstens-Behrens, S.
Papandreou-Suppappola, A.
Hlawatsch, F.
Boudreaux-Bartels, G. F.
Beghdadi, A.
Iordache, R.
Boashash, B.
Djebbari, A.
Ouelha, S.
Onchis, D. M.
Title of chapter Time-frequency diagnosis, condition monitoring, and fault detection
Title of book Time-frequency signal analysis and processing: a comprehensive reference
Place of Publication Amsterdam, Netherlands
Publisher Academic Press
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1016/B978-0-12-398499-9.00015-7
Open Access Status Not yet assessed
Series EURASIP and Academic Press series in signal and image processing
Edition Second edition
ISBN 9780123984999
Editor Boualem Boashash
Chapter number 15
Start page 857
End page 913
Total pages 57
Total chapters 18
Collection year 2017
Language eng
Formatted Abstract/Summary
Time-frequency (t, f) applications are now so widespread that they cannot be comprehensively covered in one volume. For this reason, this chapter aims to further illustrate the (t, f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections covering a wide range of diverse applications. One key application is electrical power quality as it is often severely affected by transient disturbances. It is necessary to detect and assess their effect on voltage and current stability. This is achieved by a time-localized frequency analysis where the instantaneous frequency (IF) allows assessing disturbance propagation (Section 15.1). In the automotive industry, the treatment and prevention of knock is a major problem for internal combustion engines as car spark knocks caused by an abnormal combustion may lead to engine damage. The Wigner-Ville distribution is used to optimize the position for placement of knock sensors (Section 15.2). Other applications involve signals that have dispersive spectral delays governed by a power law, such as dispersive propagation of a shock wave in a steel beam and cetacean mammal whistles. A power class of TFDs suitable for such applications is formulated and a methodology is described (Section 15.3). In applications of image processing, image quality may be assessed using a 2D-WVD based measure correlated with subjective human evaluations. It is shown that this SNR measure based on the WVD outperforms conventional SNR measures (Section 15.4). Some general principles of (t, f) diagnosis are then reviewed for medical applications with focus on heart sound abnormality diagnosis (Section 15.5). For machine condition monitoring, a task crucial to the competitiveness of a wide range of industries, the tasks of detecting and diagnosing faults in machines, is made easier using (t, f) approaches such as the WVD, wavelets, and wavelet packets (Section 15.6). The last section presents a specific example of condition monitoring of assets using (t, f) methods that focus on the prevention of steel beam damage (Section 15.7).
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

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