Method for alarm prediction
نویسندگان
چکیده
The goal of this paper is to show a predictive supervisory method for the trending of variables of technological processes and devices. The data obtained in real time for each variable are used to estimate the parameters of a mathematical model. This model is continuous and of first-order or second-order (critically damped, overdamped or underdamped), all of which show time delay. An optimization algorithm is used for estimating the parameters. Before performing the estimation, the most appropriate model is determined by means of a backpropagation neural network (NN) previously trained. Virtual Instrumentation was used for the method programming.
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