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Research on the Fault Diagnosis Methods for UUV Utilize Multi-sensor Information Fusion Technology

机译:UUV故障诊断方法利用多传感器信息融合技术研究

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For UUV fault detection, we propose a multi-sensor information fusion diagnosis method based on D-S evidence theory. We use the feature information which is extracted by fuzzy membership function to construct the basic probability functions. Then use the weighted distribution method for basic probability functions to avoid the evidence conflict. Finally we use the combining method which was proposed by Murphy to combine the weighted probability functions and give out the fault diagnosis. In the final paper, we will give the performance evaluation by using the measured data.
机译:对于UUV故障检测,我们提出了一种基于D-S证据理论的多传感器信息融合诊断方法。我们使用模糊成员资格函数提取的功能信息来构建基本概率函数。然后使用加权分布方法进行基本概率函数以避免证据冲突。最后,我们使用墨菲提出的组合方法来结合加权概率函数并提供故障诊断。在最后一篇论文中,我们将通过使用测量数据提供性能评估。

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