The pattern recognition of non-destructive testing based on HMM

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.