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Research on health evaluation system of liquid-propellant rocket engine ground-testing bed based on fuzzy theory

机译:基于模糊理论的液体火箭发动机地面试验台健康评价系统研究

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摘要

In this paper, the theory based on multi-sensor information fusion is studied, which is used to evaluate the health condition of liquid-propellant rocket engine ground-testing bed. The concept of health degree is defined. It is used as a quantitative index for evaluating the health condition of the ground-testing bed. In order to evaluate the health condition of the ground-testing bed on different levels, health degrees of a single parameter, of a sub-system and of a system are defined. They accordingly measure the health conditions of single parameter, sub-system and system of the ground-testing bed. The method of fuzzy data fusion is used to calculate the health degree. In this method the weight of each monitoring sensor is calculated by analytic hierarchy process (AHP), then, the multi-sensor data are fused by the fuzzy comprehensive evaluation method, next, the sequence data are fused by two-grade index evaluation method, finally, the health degree is calculated by defuzzification method. Based on these, the health condition evaluation system of ground-testing bed is set up, which can evaluate the health condition of the ground-testing bed properly and quantitatively. At last, the application of the health evaluation system in fault detection and health evaluation of the ground-testing bed are discussed.
机译:本文研究了基于多传感器信息融合的理论,用于评价液体推进剂火箭发动机地面试验台的健康状况。定义了健康程度的概念。它用作评估地面试验床健康状况的定量指标。为了在不同级别上评估地面测试床的健康状况,定义了单个参数,子系统和系统的健康程度。他们相应地测量单个参数,子系统和地面测试床系统的健康状况。采用模糊数据融合方法计算健康度。该方法通过层次分析法(AHP)计算出每个监测传感器的权重,然后通过模糊综合评价法对多传感器数据进行融合,然后通过二级指标评价法对序列数据进行融合,最后,通过去模糊化方法计算健康度。在此基础上,建立了地面试验床的健康状况评价系统,可以对地面试验床的健康状况进行适当,定量的评价。最后讨论了健康评估系统在地面试验台故障检测和健康评估中的应用。

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