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Optimization of Measuring Points of Fire Suppression and Suppression Circuit Board Based on Global Sensitivity Analysis

机译:基于全局灵敏度分析的消防灭火电路板测量点的优化

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Aiming at the problem of module-level and board-level fault diagnosis point selection for a certain type of fire suppression and explosion suppression system board, this paper uses the incentive and measurement point optimization method based on global sensitivity analysis to optimize the excitation and measuring points. The method uses Pspice software for simulation analysis, omitting the topology analysis and cumbersome calculation process of the sub-module circuit in the circuit board, and improving the selection efficiency of the measuring point. Considering the effects of component tolerance and parameter variation, the concept of global sensitivity is redefined, and the sensitivity of each measurement point under different excitation conditions is compared by global sensitivity analysis method, and the optimization of excitation and measurement points is completed. Point selection based on global sensitivity analysis is preferred.
机译:针对某类灭火防爆系统板模块级和板级故障诊断点的选择问题,本文采用基于全局灵敏度分析的激励和测量点优化方法,对激励和测量进行优化。点。该方法使用Pspice软件进行仿真分析,省去了电路板上子模块电路的拓扑分析和繁琐的计算过程,提高了测量点的选择效率。考虑到零件公差和参数变化的影响,重新定义了全局灵敏度的概念,并通过全局灵敏度分析方法比较了不同激励条件下每个测量点的灵敏度,从而完成了激励和测量点的优化。首选基于全局敏感性分析的点选择。

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