Advanced Signal Processing Techniques for Faulth Diagnostics-a Review

Şeref Naci Engin; Kayhan Gülez; M. N. M. Badi

doi:10.3390/mca4020121

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1 August 1999

Advanced Signal Processing Techniques for Faulth Diagnostics-a Review

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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

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

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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.

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