Abstract
Increasing the number of inspection sources creates an opportunity to combine information in order to properly set the operation of the entire system, not only in terms of such factors as reliability, confidence, or accuracy, but inspection time as well. In this paper, a magnetic sensor-array-based nondestructive system was applied to inspect defects inside circular-shaped steel elements. The experiments were carried out for various sensor network strategies, followed by the fusion of multisensor data for each case. In order to combine the measurements, first data registration and then four algorithms based on spatial and transformed representations of sensor signals were applied. In the case of spatial representation, the data were combined using an algorithm operating directly on input signals, allowing pooling of information. To build the transformed representation, a multiresolution analysis based on the Laplacian pyramid was used. Finally, the quality of the obtained results was assessed. The details of algorithms are given and the results are presented and discussed. It is shown that the application of data fusion rules for magnetic multisensor inspection systems can result in the growth of reliability of proper identification and classification of defects in steel elements depending on the utilized configuration of the sensor network.
Highlights
There are currently two main aspects of newly introduced technological solutions: production and quality control
It should be noted that in the case of a lower level of defect response signals, the background signals can be enhanced by a similar factor and the defect detection process can lead to an increase in the probability of false alarm (PFA) as well
) of data fusion obtained for the 0.5 mm circumferential d4 defect
Summary
There are currently two main aspects of newly introduced technological solutions: production and quality control. The array is running in competitive mode when each sensing element provides independent information about the same range of the inspected object and the combined information is building a redundant image This configuration allows us, at the end, to reduce the risk of incorrect indication caused by failure of one sensor by minimizing its influence on the final result or even excluding it from building the image. On the other side of configuration modes, the complementary one arises Utilization of this strategy means that each sensor is monitoring a different selected part of the examined object and collected information by all elements is combined to provide a broader image of the tested material.
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