Model-based method with nonlinear ultrasonic system identification for mechanical structural health assessment

被引：59

作者：

Chen, Hanxin ^{[1
,2
]}

Huang, Lang ^{[1
]}

Yang, Liu ^{[1
]}

Chen, Yongting ^{[3
]}

Huang, Jinmin ^{[1
]}

机构：

[1] Wuhan Inst Technol, Sch Mech & Elect Engn, Wuhan 430073, Peoples R China

[2] Hubei Prov Key Lab Chem Equipment Intensificat &, Wuhan, Peoples R China

[3] Wuhan Britain China Sch, Wuhan, Peoples R China

来源：

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES | 2020年 / 31卷 / 12期

基金：

英国工程与自然科学研究理事会; 中国国家自然科学基金;

关键词：

PULSED EDDY-CURRENT; REGRESSION; ALGORITHM; QUANTIFICATION; SELECTION;

D O I：

10.1002/ett.3955

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Conventional methods for the structural nondestructive testing (NDT) such as pulsed eddy current (PEC), ultrasonic detection (UT), and so on are based on the output signal interpretation technique of the NDT system to extract the features to assess the structural health. In this article, a novel NDT method for the structural health monitoring from the different perspective is proposed, which is based on the structural system model between the exciting input and output response. Nonlinear autoregressive moving average with exogenous inputs (NARMAX) is used to establish the time domain model between the input signal and the output response. Frequency response (FRF) of NARMAX model from the time domain data is proposed to obtain the indicators to assess the structural health. The effectiveness and advantage of the proposed method are tested with two sets of experimental data by comparison with the existing method.

引用

页数：15

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