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The purpose of this paper is to apply the fuzzy clustering method in recognizing working condition of cement grate cooler. There are several steps to illustrate this method. Fristly, fuzzy clustering method is used to process the real-time data of grate cooler. Secondly, programming and calculating by applying the Matlab software to obtain the final result of cluster. Finally, acquiring the working...
Feedforward and feedback control is developed in this work for proton exchange membrane (PEM) fuel cell (FC) systems to do fault detection and isolation (FDI). The fault detection is achieved using a radial basis function (RBF) network model, whilst the fault isolation is based on the RBF classification. One actuator fault, one component fault and three sensor faults have been introduced to the PEMFC...
Automatic control of fuel cell stacks (FCS) using non-adaptive and adaptive radial basis function (RBF) neural network methods are investigated in this paper. The neural network RBF inverse model is used to estimate the compressor voltage for fuel cell stack control at different current demands, reduction in the compressor gain (30% and 20%) and manifold leak (15%) in order to prevent the oxygen starvation...
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