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An artificial neural network based computer-aided designing system together with the manufacturing cost estimation system for industrial induction motors is presented. The aim is to contribute to the understanding of the new system. Based on the actual design data for various types of induction motors, the cascaded artificial neural networks have been trained to calculate the output of the fundamental data and parameters. After the training, the dimensions and the basic parameters have been estimated quite accurately from the specification of the individual induction motor on the cascaded three artificial neural networks. The manufacturing cost of the individual motor has also been predicted precisely by using the neural network at the last stage of design. The proposed neural network based designing system including the cost estimation system is quite efficient in reducing the manpower of the designing process and also in enabling optimal design in a restricted time period without the knowledge of experts.
Date of Publication: 4 Nov. 2005