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With the improvement of equipment intricacy and automation, it is more important for equipment failure diagnosis. In this paper, we propose a diagnostic model to automatically detect and identify faults in manufacturing processes by using a wavelet-based method. The idea behind our method is to use an image processing system that performs the following phases: image capturing, image preprocessing,...
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