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Math. Comput. Appl. 1999, 4(2), 121-136; doi:10.3390/mca4020121

Advanced Signal Processing Techniques for Faulth Diagnostics-a Review

Yıldız Technical University, Electrical & Electronics Faculty, Electrical Engineering Department, 80750 Beş-İstanbul, Turkey
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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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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MDPI and ACS Style

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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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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