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As soft computing techniques are more and more widely used in machining process, Artificial Neural Network (ANN) has become an effective way to construct predicting model in grinding process. The present paper reviews the efforts made in recent two decades on modeling grinding process via ANN in a sequence as input and output parameters, ANN topology and the details of the ANN training algorithm....
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine (General Electric PG 9351FA) located in Italy. The data used for model development are three time series data sets of two different maneuvers taken experimentally during the start-up procedure. The resulting NARX models are applied...
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