Modern Mining ›› 2024, Vol. 40 ›› Issue (03): 230-234.
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In order to realize the comprehensive evaluation of the reliability of the integrated monitor⁃ ing equipment，the method based on T-S fuzzy neural network is adopted，and four indicators such as time⁃ liness，gross error ratio，sampling interval and false positive number are taken as input vectors. The data processing capability of T-S fuzzy system，the nonlinear fitting capability of neural network and MATLAB software programming are utilized. A comprehensive evaluation model of integrated monitoring equipment is constructed. The trained T-S fuzzy neural network model and BP neural network model are applied to the prediction of 6 groups of monitoring equipment at the same time. From the numerical simulation and applica⁃ tion，it can be seen that the universal device is slightly stronger than the integrated monitoring device， which is consistent with the actual situation. The method is feasible and practical in the evaluation of the in⁃ tegrated monitoring equipment，and can be used as the basis for the reliability of the equipment in practice.
