The pattern recognition of non-destructive testing based on HMM

Author

Daofu, Zhang ; Yan, Zeng ; Xiaojun, Zhou ; Yaodong, Cheng

Author_Institution

Dept. of Mech., Zhejiang Univ., Hangzhou, China

Volume

3

fYear

2002

fDate

2002

Firstpage

2198

Abstract

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.

Keywords

aerospace computing; computer aided analysis; computerised instrumentation; fault location; hidden Markov models; nondestructive testing; pattern recognition; physical instrumentation control; signal reconstruction; HMM; NDT; aviation material quality; aviation material safety; computer analysis; control system; fault pattern recognition; nondestructive testing; signal processing; Automatic testing; Hidden Markov models; Materials testing; Nondestructive testing; Pattern recognition; Scattering; Signal processing; Speech analysis; Speech processing; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021477

Filename

1021477