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Multi agent systems have gained increasing interest in research, particularly in areas where distributed intelligence is required, in situations where single centralized methods are not suited. Fault detection and identification in chemical process industries is one such domain where multi agent systems would be ideally suited. A chemical process industry experiences various faults at different levels...
Through the analysis of electric drive system of a cold-rolling steel plant and selecting detection signal reasonably, the on-line monitoring system has been exploited. It possesses the functions of real-time data display, alarm, sample data storage, data acquisition, parameter setting and others. By using MATLAB-Simulink tools, the simulation system has been built, which is for fault diagnosis of...
A temperature trend forecasting algorithm based on support vector machine (SVM) was proposed to study the temperature faults of rolling electric machine. With the analysis of the monitoring system of rolling electric machine, the multi-steps forecasting model was built and the SVM algorithm was verified by a numerical example and a realistic case. The results show this algorithm has accurate forecasting...
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