Signal processing for fault monitoring using acoustic emissions

Gopal T. Venkatesan, Danlu Zhang, Mostafa Kaveh, Ahmed H. Tewfik, Kevin M. Buckley

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Automatic fault monitoring techniques in machinery are a means to safely relax and simplify expensive preventive maintenance and inspection procedures. Acoustic emissions that are ultrasonic waves emanating from the formation or growth of a crack in a material is a possible avenue for detecting faults due to fatigue or other sources of deterioration. In this paper we present some of the signal processing techniques that we have proposed and evaluated for providing reliable fault monitoring and diagnostics based on acoustic emissions.

Original languageEnglish (US)
Pages (from-to)333-338
Number of pages6
JournalAEU-Archiv fur Elektronik und Ubertragungstechnik
Issue number6
StatePublished - Dec 1 1999


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