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Fuzzy artmap neural network and its application to fault diagnosis of navigation systems

机译:模糊artmap神经网络及其在导航系统故障诊断中的应用

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摘要

In this paper, a new approach that combines Chi-Square Test and Fuzzy ARTMAP (FAM) neural network mapping is proposed to Fault Diagnosis of Integrated Navigation Systems. State Chi-Square Test on whole state vector and individual state is performed to detect faults. Then, the pattern of State Chi-Square Test result is used to isolate and identify faults by using two separated FAM networks respectively. The fault magnitude and fault occurring time can be identified by the second FAM.
机译:本文提出了一种将卡方检验与模糊ARTMAP(FAM)神经网络映射相结合的新方法,用于组合导航系统的故障诊断。对整个状态向量和单个状态进行状态卡方检验,以检测故障。然后,使用状态卡方检验结果的模式分别通过使用两个分离的FAM网络来隔离和识别故障。故障幅度和故障发生时间可以由第二个FAM识别。

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