Damage detection of pressure pipe based on statistical pattern recognition theory
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Abstract:
Based o n the statistical patt ern recog nition theor y, t he AMRA tim ing analysis method combined w ith the long auto re2 g ressive mo del residual method and the least squares method w ere used to estimate the model parameter s and then to develo p the sy stem mo del. The mean co nt rol chart method w as used to ex tract and select the v ibratio n information and feature of the pr essure pipe, therefo re the damag e of the pressur e pipe can be ident ified effectively. T he simulation r esult s show ed that struc2 tur al abno rmality test metho d of the mean contro l char t, w hich is based on the statist ical patter n recog nitio n theo ry , can diag2 nose the structur al damage accurately, and is sensitive to the damage deg r ee and location.
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