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
2
University of Hertfordshire, Faculty of Engineering & Information Sc. Department of Aerospace, Mech. & Civil Eng. AL10 9AB Hatfield, Herts, UK
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Authors to whom correspondence should be addressed.
Math. Comput. Appl. 1999, 4(2), 121-136; https://doi.org/10.3390/mca4020121
Published: 1 August 1999
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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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. https://doi.org/10.3390/mca4020121
AMA Style
Engin ŞN, Gülez K, Badi MNM. Advanced Signal Processing Techniques for Faulth Diagnostics-a Review. Mathematical and Computational Applications. 1999; 4(2):121-136. https://doi.org/10.3390/mca4020121
Chicago/Turabian StyleEngin, Şeref Naci, Kayhan Gülez, and M. N. M. Badi. 1999. "Advanced Signal Processing Techniques for Faulth Diagnostics-a Review" Mathematical and Computational Applications 4, no. 2: 121-136. https://doi.org/10.3390/mca4020121
