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Therefore, automated defect classification is desirable in a PEC instrument.
Buried pipe defect classification is thus a practical and important pattern classification problem.
An analysis algorithm is also developed for the auto defect classification technique.
Current PEC defect classification methods require highly trained personnel and the results are usually influenced by human subjectivity.
The capability of automated defect classification embedded in AOI equipment is the key factor to empower manufacturing intelligence.
To illustrate our proposal, we present two real applications of the IBM's orthogonal defect classification working on the issue tracking systems from two different real domains.
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Finally, the computerized system produces reasonable defect classifications, defined as classifications with which the expert panel rarely disagrees.
Another concern relating to study validity was the failure of the 6 experts to agree completely on a sizable proportion of defect classifications for the test fields during the initial validation.
By adopting as inputs the feature vectors extracted with PCA applied, a multilayer back-propagation artificial neural network (ANN) classifier is developed for automatic health monitoring and defects classification of tile-walls.
Nonetheless, considering the practical implementation of tile-wall non-destructive evaluation (NDE), the traditional defects classification method based directly on frequency-domain features has been of limited application because of the overlapping feature patterns corresponding to different classes whenever there is physical surface irregularity.
Schemes for the wobbling noise recognition, signal indication extraction, defect signal classification, and the separation of mixed signals are proposed, and are applied to both signals measured in a SG mock-up and signals measured with short tube test-pieces in a laboratory environment.
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