Title :
Detection and modeling of acoustic emissions for fault diagnostics
Author :
West, D. ; Venkatesan, G. ; Tewfik, A. ; Buckley, K. ; Kaveh, M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
The formation of microcracks in a material creates propagating ultrasonic waves that are called acoustic emissions (AEs). These AEs provide an early warning to the onset of material failure. In practical cases, however, these AEs have to be detected at very low SNRs, amongst strong interference and random noise. This paper presents some preliminary results from an ongoing investigation into the modeling and detection of AEs as a viable technique for predictive diagnostics
Keywords :
acoustic emission testing; acoustic noise; acoustic signal detection; acoustic signal processing; crack detection; fault diagnosis; filtering theory; interference (signal); microcracks; ultrasonic materials testing; HP filtering; LP filtering; acoustic emissions; detection; fault diagnostics; material failure; microcracks; modeling; predictive diagnostics; prefiltering; propagating ultrasonic waves; random noise; strong interference; very low SNR; Acoustic emission; Acoustic measurements; Acoustic signal detection; Fault detection; Filtering; Frequency; Interference; Nanoscale devices; Nonlinear filters; Solid modeling;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534877
