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Multimedia based multi-fault diagnosis of satellite sensor based on gauss Bayesian algorithm

机译:基于高斯贝叶斯算法的基于多媒体的卫星传感器多故障诊断

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摘要

A fault diagnosis method based on Gauss Bayesian algorithm is proposed to improve the multi-fault diagnosis accuracy of satellite sensors. Firstly, the working principle and common failure modes of satellite sensors are analyzed, and a multi-fault diagnosis model of satellite sensors is constructed; Secondly, the HONBM algorithm is used to analyze the fault diagnosis and anti-mismatch strategy of the satellite sensor system to improve the performance of the algorithm, the fault diagnosis process of satellite sensor system based on Bayes network and the anti-mismatch strategy are given. Finally, the effectiveness of the proposed algorithm in multi-fault diagnosis of satellite sensors is verified by simulation experiments.
机译:为了提高卫星传感器的多故障诊断精度,提出了一种基于高斯贝叶斯算法的故障诊断方法。首先,分析了卫星传感器的工作原理和常见故障模式,建立了卫星传感器的多故障诊断模型。其次,采用HONBM算法对卫星传感器系统的故障诊断和反匹配策略进行分析,以提高算法的性能,给出了基于贝叶斯网络的卫星传感器系统的故障诊断过程和反匹配策略。 。最后,通过仿真实验验证了该算法在卫星传感器多故障诊断中的有效性。

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