An Adaptive Classifier for Detecting Helicopter Drivetrain Damage Using Acoustic Emission

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1999
Authors
Friesel, Mark
Ji, Yuyin
Yan, Wu
Miller, Ron
Carlos, Mark
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Review of Progress in Quantitative Nondestructive Evaluation
Center for Nondestructive Evaluation

Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.

This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.

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This paper describes recent developments in a program to detect damage to helicopter drivetrains using acoustic emission (AE)1,2. Data obtained from an SH-60 drivetrain on an NAWC test stand was correlated with seeded fault damage in order to identify acoustic emission characteristics unique to the various sources. The objective is to extend prior work in applications of pattern recognition techniques and advanced machine intelligence to AE3,4,5 by designing and implementing an autonomous adaptive procedure to recognize and classify drivetrain damage from AE data.

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Fri Jan 01 00:00:00 UTC 1999