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30 May 1996 Identification of broadband acoustic emission signals
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Aircraft and rotorcraft health monitoring systems (HMS) must be capable of identifying structural damage (cracks) when the damage is very small. Typically, small is small enough that classical finite element modeling methods are inadequate. Monitoring the structure at very high frequencies and using a combination of relativistic, and absolute measures of the monitored signals can be used to provide a measure of the structures health. Passively monitoring the structure for waveforms, generated by crack growth is a promising method for incorporation into a health monitoring system. This paper discusses research into the implementation of such a system. The issue of signal de-noising using adaptive filters prior to waveform identification are addressed, and results presented.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ian R. Searle and Steve M. Ziola "Identification of broadband acoustic emission signals", Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996);


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