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A single neural network based fault diagnosis system may not give reliable fault diagnosis due to the fact that a perfect neural network is generally difficult, if not impossible, to develop. To enhance fault diagnosis reliability, this paper proposes a technique where multiple neural networks are developed and their diagnosis results are combined to give the overall diagnosis result. To develop a...
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