Signal processing for fault monitoring using acoustic emissions

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

Signal processing for fault monitoring using acoustic emissions

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

Administration (CSENG)

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2 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	333-338
Number of pages	6
Journal	AEU-Archiv fur Elektronik und Ubertragungstechnik
Volume	53
Issue number	6
State	Published - Dec 1 1999

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title = "Signal processing for fault monitoring using acoustic emissions",

abstract = "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.",

author = "Venkatesan, {Gopal T.} and Danlu Zhang and Mostafa Kaveh and Tewfik, {Ahmed H.} and Buckley, {Kevin M.}",

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AU - Venkatesan, Gopal T.

AU - Zhang, Danlu

AU - Kaveh, Mostafa

AU - Tewfik, Ahmed H.

AU - Buckley, Kevin M.

PY - 1999/12/1

Y1 - 1999/12/1

N2 - 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.

AB - 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.

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ER -

Signal processing for fault monitoring using acoustic emissions

Abstract

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