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Advanced Signal Processing Techniques for Faulth Diagnostics-a Review

Şeref Naci Engin
Kayhan Gülez
1,* and
M. N. M. Badi
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.
Math. Comput. Appl. 1999, 4(2), 121-136;
Published: 1 August 1999


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.

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.

Chicago/Turabian Style

Engin, 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.

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