Open AccessA model-based approach for estimation of the crack depth on a massive metal structure
Author(s) -
Thanh-Long Cung,
Thinh Duc Dao,
Phuong Cong Nguyen,
Thanh Dang Bui
Publication year - 2018
Publication title -
measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 21
eISSN - 2051-8730
pISSN - 0020-2940
DOI - 10.1177/0020294018778314
Subject(s) - eddy current , usability , electrical impedance , set (abstract data type) , polynomial , nondestructive testing , square (algebra) , value (mathematics) , mean squared error , computer science , eddy current testing , algorithm , acoustics , structural engineering , mathematics , engineering , geometry , statistics , mathematical analysis , electrical engineering , machine learning , physics , human–computer interaction , quantum mechanics , programming language
This paper deals with the eddy current technique for nondestructive evaluation of the crack depth on a massive specimen used in aeronautical industry. A set of C-scan eddy current images is analyzed to reduce the noise and to select suitable features, which can be used to estimate the crack depth. Based on this study, a method relying on polynomial forward models of the relationship between crack depth and the maximum value of the sensor impedance is proposed. The least square and the non-negative least square techniques are applied to analyze the usability of proposed models. The error of obtained estimations is smaller than 10%, for almost used experimental data.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom