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A Model of Intellective Fault Diagnosis on Basis of Extension

机译:基于扩展的智能故障诊断模型

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Intellective fault diagnosis is an important direction of AI. A new model of intellective fault diagnosis is put out in this paper, which based on extension information theory and fault diagnosis theory. Our goal is to assurance the rate and precision of diagnosis. We analyze from two aspects of fault diagnosis by experts and fault information identification, and find the causation of fault. In this paper, we introduce the method of fault diagnosis and experts decision bases on extension. Then, explaining the method of fault information representation, and find the fault causation by the method of extension information searching. This model inhere good traits of usefulness and applicability, and satisfactory decision accuracy and rate will be received.
机译:智能故障诊断是AI的重要方向。基于扩展信息理论和故障诊断理论,提出了一种智能的故障诊断模型。我们的目标是确保诊断的速度和准确性。我们从专家的故障诊断和故障信息识别两个方面进行分析,找出故障的原因。本文介绍了故障诊断方法和基于扩展的专家决策。然后,解释故障信息表示的方法,并通过扩展信息搜索的方法找到故障原因。该模型具有良好的实用性和适用性,将获得令人满意的决策准确性和速率。

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