Pre-processing methods for eddy current data analysis using Hilbert-Huang Transform

Issue title: Selected Papers from the 15th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2011)

Article type: Research Article

Authors: Yang, Guang^a | Khan, Tariq^a | Zhang, Lu^a | Dib, Gerges^a | Xin, Junjun^a | Udpa, Lalita^a | Majumdar, Shantanu^a | Udpa, Satish^a | Kim, Jaejoon^{a; *}

Affiliations: [a] Michigan State University, East Lansing, MI, USA

Correspondence: [*] Corresponding author: Jaejoon Kim, Daegu University, Gyeongsan, Gyeongbuk 712-714, Korea and Michigan State University, East Lansing, MI 48824, USA. E-mail: [email protected]

Abstract: An advanced nonlinear, non-stationary signal processing algorithm using Hilbert-Huang Transform is presented for automatic analysis of eddy current data collected during the inspection of steam generator tubes in nuclear power plants. The proposed algorithm reduces noise and enhances defect indication in the signal, thereby yielding increased detection probability as well as reduced false calls. Results of applying the algorithm on field data from SG tube inspection are presented and compared with those of current practice in industry.

Keywords: Eddy current steam generator tube inspection, fourier domain median filter, Hilbert-Huang Transform (HHT), ROI detection

DOI: 10.3233/JAE-2012-1487

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 39, no. 1-4, pp. 389-395, 2012