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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 1999, 4(2), 121-136; https://doi.org/10.3390/mca4020121

Advanced Signal Processing Techniques for Faulth Diagnostics-a Review

1
Yıldız Technical University, Electrical & Electronics Faculty, Electrical Engineering Department, 80750 Beş-İstanbul, Turkey
2
University of Hertfordshire, Faculty of Engineering & Information Sc. Department of Aerospace, Mech. & Civil Eng. AL10 9AB Hatfield, Herts, UK
*
Authors to whom correspondence should be addressed.
Published: 1 August 1999
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Abstract

An overview of major signal processing and analysis methods finding an area of application in machinery fault diagnostics is presented. Among them Wavelet Transform, which has been gaining a special interest in many research and engineering fields, is emphasized with an example application based on numerically obtained vibration-time data representing various health conditions of a spur gear.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Engin, Ş.N.; Gülez, K.; Badi, M.N.M. Advanced Signal Processing Techniques for Faulth Diagnostics-a Review. Math. Comput. Appl. 1999, 4, 121-136.

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