1995
DOI: 10.1016/0952-1976(95)00011-o
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Expert system for the characterization of defect signals in steam generator tubes

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Cited by 11 publications
(4 citation statements)
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“…However, for higher spectral resolution and accuracy requirements, the sweep duration is longer, leading to lengthy inspection times. A solution to this problem might be multi-frequency (MUF) EC when the excitation signal contains several frequency components [8]. Implementation of such an excitation becomes increasingly sophisticated with a growing number of desired frequencies.…”
Section: Introductionmentioning
confidence: 99%
“…However, for higher spectral resolution and accuracy requirements, the sweep duration is longer, leading to lengthy inspection times. A solution to this problem might be multi-frequency (MUF) EC when the excitation signal contains several frequency components [8]. Implementation of such an excitation becomes increasingly sophisticated with a growing number of desired frequencies.…”
Section: Introductionmentioning
confidence: 99%
“…The examples are: SOCRATE [8], Dodger [9], EXTRACSION [10], and a hybrid system described in [11 J. What is characteristic is that all four systems have been developed for nuclear power industry.…”
Section: Use Of Expert-systemsmentioning
confidence: 99%
“…In both cases, the signals analysis is based upon comparison with typical Lissajoux patterns, more or less assisted by expert systems [2] [3]. To go beyond these methods, we must be able to compute, with a good resolution, the conductivity at any point of the pipe.…”
Section: Introductionmentioning
confidence: 99%
“…It is necessary to upgrade U0 with each new sample for which no flaw signal issuspected. If we know, for a given instant T, U,, ( ) and A,(&), and if E(&+,) is a sample of at instant we can compute U,( T,,.,) with the following algorithm : 1) compute B matrix such :2) compute the rotation matrix R that diagonalize B3) upgrade basis and eigen values :The matrix B being symmetric, we can use a fast diagonalization algorithm, such as Jacobi's algorithm.It is preferable to work with a f h t e horizon, either with a moving window, of fixed length N, and we have -. either with an div a mP* ' to test the variableexponential loosing factor a < 1 : &k and, as soon we have acquired enough samples so << 1, we have to test the variable…”
mentioning
confidence: 99%