Dynamic thresholding for automated analysis of bobbin probe eddy current data

Issue title: Proceedings of the tenth International Symposium on Applied Electromagnetics and Mechanics ISEM-Tokyo

Article type: Research Article

Authors: Shekhar, H.^{a; *} | Polikar, R.^a | Ramuhalli, P.^a | Liu, X.^a | Das, M.^a | Udpa, L.^a | Udpa, S.S.^a

Affiliations: [a] Materials Assessment Research Group, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA

Correspondence: [*] Corresponding author: Hemabh Shekhar; E-mail: [email protected]

Abstract: An automated algorithm is presented for the analysis and classification of eddy current bobbin probe data obtained from nuclear power plant steam generator tubes (SGT). This algorithm attempts to find a balance between the two seemingly conflicting requirements of SGT eddy current data analysis, namely, detecting and identifying as many of the actual defects as possible, whilst limiting the number of false alarms to a minimum. Initial results presented in this paper look very promising.

DOI: 10.3233/JAE-2002-428

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 15, no. 1-4, pp. 39-46, 2002