PREDICTION OF STEEL LEAKAGE BASED ON FUZZY PATTERN RECOGNITION
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Graphical Abstract
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Abstract
A decision-making network based on pattern clustering method with learning mechanism is presented and the traditional thermocouple system is rearranged for steel leakage alarm. This method is shown by numerous experiments to be very effective in clusterring temperature patterns, detecting possible leakages of liquid steel and their positions and reasons.
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