Event Title

An Adaptive Classifier for Detecting Helicopter Drivetrain Damage Using Acoustic Emission

Location

Snowbird, UT, USA

Start Date

1-1-1999 12:00 AM

Description

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.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

18A

Chapter

Chapter 1: Elastic Waves and Ultrasonic Techniques

Section

Acoustic Emission Applications

Pages

435-440

DOI

10.1007/978-1-4615-4791-4_54

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

An Adaptive Classifier for Detecting Helicopter Drivetrain Damage Using Acoustic Emission

Snowbird, UT, USA

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.