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A system structure for water jet cutting machine fault diagnosis based on multi-information fusion is presented, which takes the time-varying, redundancy and uncertainty of the multi-fault characteristic information into consideration. We make use of the neural network's ability of better fault tolerance, strong generalization capability, characteristics of self-organization, self-learning, and self-adaptation,...
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