The pattern recognition of non-destructive testing based on HMM
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 3 - Trang 2198-2202 vol.3
Tóm tắt
A method of fault pattern recognition based on signal processing and pattern recognition. A hidden signal processing and characteristic reconstructed is presented Markov model which is scatter output and one rank is in this paper. Hidden Markov model (HMM),which is initially employed in the field of speech signal processing is introduced into fault pattern recognition of nondestructive testing(NDT), which lets a fault in aviation material be reconstructed automatically with the help of computer analysis and control system. It brings practical application for aviation material quality and safety use.
Từ khóa
#Pattern recognition #Nondestructive testing #Hidden Markov models #Signal processing #Speech analysis #Scattering #Speech processing #Automatic testing #Materials testing #System testingTài liệu tham khảo
zhenqing, 1995, A Split Spectrum approach to strength thick crystal s ultrasonic inspection signal[J], Non-Destructive Testing, 17, 211
jiankai, 1993, Principle and method of ultrasonic inspection
keji, 1997, The principle of the acoustics signal processing and practice based on neural net, 4
guangping, 1994, Ultrasonic signal processing, Non-Destructive Testing, 16, 178
jinhui, 1995, Hidden Markov models for speech processing
10.1002/j.1538-7305.1985.tb00274.x
10.1109/5.18626