Double-layer tubular column pulse eddy current data denoising method based on noise model
A pulsed eddy current and noise model technology, applied in neural learning methods, biological neural network models, pattern recognition in signals, etc., can solve problems that are difficult to adapt to actual systems, do not consider the mixture of multiple noises, and do not consider real noise.
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[0077] This embodiment discloses a noise model-based denoising method for pulsed eddy current data of a double-layer string, such as Figure 1 to Figure 3 As shown, it mainly includes the following steps:
[0078]Step 1) Starting from the deepest part of the double-layer pipe string, use the longitudinal long probe A of the electromagnetic flaw detection tester MTD-J to detect the double-layer pipe string of the weak magnetic field, and obtain a total of 11 point data consisting of A1-A11 Pulsed eddy current testing data. After one sampling period, the instrument moves up to continue data acquisition. The above data collection is repeated until the pulsed eddy current data collection of the entire double-layer string of weak magnetic tubing is completed, and the pulsed eddy current detection data composed of 11 point data at each depth is obtained. Among them, longitudinal probe A can collect 11 signals A1-A11, the sampling time range is 0.015-0.09ms, and the sampling point ...
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