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Data fusion algorithm for pulsed eddy current detection

Data fusion algorithm for pulsed eddy current detection

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  • Author(s): G. Yang 1, 2 ; G.Y. Tian 1 ; P.W. Que 2 ; Y. Li 1
    • View affiliations
    • Affiliations: 1: School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle upon Tyne, UK
      2: Institute of Automatic Detection, Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai, Republic of China
  • Source: Volume 1, Issue 6, November 2007, p. 312 – 316
    DOI:  10.1049/iet-smt:20060118 , Print ISSN 1751-8822, Online ISSN 1751-8830
© The Institution of Engineering and Technology
Published

A weighted data fusion algorithm based on matching pursuit (MP)-wavelet packet (WP) atomic decomposition and its applications in pulsed eddy current (PEC) non-destructive testing systems for estimation of feature parameters is presented. MP-WP atomic decomposition is used to estimate each noise-free pulse response from its noisy observation of a single-sensor PEC probe and obtain the peak value parameter from each estimated response. A weighted data fusion algorithm, on the basis of minimum mean square error (MMSE), is applied to fuse each obtained peak value together to get final optimum parameter estimation. Based on the difference of each noisy pulse response and its estimation, the variance of noise in each pulse response can be computed, respectively. Accordingly, the weight of each pulse response for data fusion is calculated by the variance of its noise. Finally, the peak value parameter is estimated by the utilised data fusion algorithm. In terms of MMSE, this weighted fusion presents an optimum estimation of the feature parameter of multi-pulse responses of PEC sensor, compared with normal averaging process.

Inspec keywords: sensor fusion; eddy current testing; least mean squares methods; wavelet transforms

Other keywords: noise-free pulse response; multipulse responses; minimum mean square error; feature parameter estimation; optimum parameter estimation; pulsed eddy current detection; weighted data fusion algorithm; single-sensor PEC probe; noisy pulse response; MMSE; nondestructive testing systems; normal averaging process; matching pursuit wavelet packet atomic decomposition

Subjects: Materials testing; Interpolation and function approximation (numerical analysis); Integral transforms in numerical analysis; Sensing devices and transducers

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