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Model‐based method with nonlinear ultrasonic system identification for mechanical structural health assessment
Author(s) -
Chen Hanxin,
Huang Lang,
Yang Liu,
Chen Yongting,
Huang Jinmin
Publication year - 2020
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3955
Subject(s) - nondestructive testing , nonlinear system , eddy current , structural health monitoring , autoregressive model , signal (programming language) , system identification , frequency domain , time domain , ultrasonic sensor , identification (biology) , computer science , engineering , acoustics , structural engineering , mathematics , data mining , econometrics , physics , computer vision , botany , quantum mechanics , measure (data warehouse) , biology , electrical engineering , programming language
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.