Sasi, B. ; Cacciola, Matteo ; Rao, Babu C. ; Jayakumar, T. ; Raj, Baldev (2013) Hybrid signal processing approach for enhanced detection of defects in EC-NDE Research in Nondestructive Evaluation, 24 (1). pp. 51-61. ISSN 0934-9847
Full text not available from this repository.
Official URL: http://www.tandfonline.com/doi/abs/10.1080/0934984...
Related URL: http://dx.doi.org/10.1080/09349847.2012.699608
Abstract
In eddy current (EC) testing, presence of lift–off and material property variation makes the defect detection as a challenging task. In view of this, a signal processing approach comprising of independent component analysis (ICA) and wavelet packet analysis (WPA) is attempted. In this paper, performance of hybrid signal processing approach and the resultant improvement in signal-to-ratio (SNR) is discussed.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Taylor and Francis Group. |
| Keywords: | Eddy Current NDE; Independent Component Analysis; Wavelet Packet Analysis |
| ID Code: | 97682 |
| Deposited On: | 24 May 2013 06:33 |
| Last Modified: | 24 May 2013 06:33 |
Repository Staff Only: item control page
