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On the application and design of artificial neural networks for motor fault detection. II

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3 Author(s)
Mo-Yuen Chow ; Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA ; Sharpe, R.N. ; Hung, J.C.

For part I see ibid., vol.40, no.2, p.181-8 (1993). Some neural network design considerations, such as network performance, network implementation, size of training data set, assignment of training parameter values, and stopping criteria, are discussed. A fuzzy logic approach to configuring the network structure is presented, to automate the network design. Successful results are obtained from using artificial neural networks (ANNs) on motor fault detection and fuzzy logic in the network configuration design. It is concluded that these emerging technologies are promising for future widespread industrial usage

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Industrial Electronics, IEEE Transactions on  (Volume:40 ,  Issue: 2 )