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As is well known, an advanced knowledge and know-how of human are needed in the operation support work. Further, human expert can cope with the recent trend of machine dynamics. Usually, the diagnosis works have been privately performed in the brain of the individuals, and its information were not shared. Recently, the number of experts is decreasing and it becomes important to maintain and to extend...
In this paper, the application of the classifier system to human support of hot strip mill operation and making decision rules by the classifier system are described. The rule base for the correction of operation and the judgment of performance are necessary for the system that becomes agent of the human expert. The method to extract correction rules by a classifier system is shown. To search appropriate...
The intervention of human is unavoidable to attain high performance of electro mechanical system. Therefore, the methods and systems that have a technical substitution of expert's skilled technique, teaching and assisting the inexperienced workers are needed in industry. In this study, PID control system of a hot strip looper control system is treated. In hot strip looper control system, control parameters...
In this study, NN based diagnostic system for hot strip mills with looper controller are proposed. Recurrent neural network (RNN) is employed to decide presetting of looper control gains. During elapse of time, deterioration of mechanical characteristics is induced together with that of the control system. To overcome the problem, it is required to diagnose true failure cause and to compensate it...
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