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Fault Diagnosis Reasoning Algorithm Based on Multi-signal Model

机译:基于多信号模型的故障诊断推理算法

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The multi-signal model is modeled in the fault space and combines the structural model and the dependent model of the system. The modeling work is easy to implement in different layers and is very suitable for fault modeling and fault diagnosis of the Command and control system. After the model is established, how to meet the requirements of fault coverage and fault isolation rate, fault diagnosis reasoning algorithm is particularly important. The system dependency matrix is obtained by establishing a multi-signal model. Based on this, the fault diagnosis reasoning algorithm is studied. The fault diagnosis of Apollo spacecraft before launch is taken as an example to verify the effectiveness of fault diagnosis inference algorithm based on multi-signal model.
机译:多信号模型在故障空间中建模,并结合了系统的结构模型和依赖模型。建模工作易于在不同的层中实现,非常适合命令和控制系统的故障建模和故障诊断。建立了模型后,如何满足故障覆盖和故障隔离率的要求,故障诊断推理算法尤为重要。通过建立多信号模型获得系统依赖性矩阵。基于此,研究了故障诊断推理算法。采用发射前的Apolo SpaceCraft的故障诊断为示例,以验证基于多信号模型的故障诊断推理算法的有效性。

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