In order to precisely diagnose the faults of cement rotary kiln,a fault diagnosis model based on principal component analysis(PCA) and support vector machine(SVM) is proposed.The variation,crossover and selection operation of differential evolution(DE) are used to maintain the diversity of the population and are introduced into GWO to avoid premature convergence.Improved gray wolf optimizer(IGWO) is used to dynamically optimize the penalty factor(c) and the kernel function parameter(g) of SVM model.PCA is u...
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