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The method can be used for fair shape design and measured data processing.
A new method of magnetic Barkhausen noise (MBN) measurement and optimization of the measured data processing with respect to non-destructive evaluation of ferromagnetic materials was tested.
In Section 2, a description of measurement setup together with the procedure of the measured data processing is provided.
It was shown that the proposed measuring method and measured data processing bring an improvement of the sensitivity to the evaluated variable when comparing with measuring traditional MBN parameter.
Real measured data processing indicates the proposal can reconstruct the high-resolution image though only limited pulses even with low SNR, which shows advantages over current super-resolution imaging methods.
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Different filters are employed to handle those measured data signals processing for sensors fusion implementation.
Its results are easily applicable in an experiment – both during designing setup and also when processing measured data.
The results showed that the flux chamber method is reliable and easy to perform, and the contoured flux maps, obtained by processing the measured data were found to be a suitable tool for identifying areas with abnormal (high) emissions.
Two common measurements were used for comparison, nevertheless due to the low-field NMR scanner the processing of the measured data was not entirely standard and processing using optimisation was required.
The basic procedure includes six steps: pre-processing the measured data; converting the filtered data to AACF domain; finding the peak and the translation vectors; building the lattice and classifying the lattice type; tessellation reconstruction and finally comparison.
Based on the simulated annealing algorithm, the model parameters of BRDF are obtained through fitting processing of measured data and the maximal fitting error is 9.94%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com