基于模糊数据融合的液氢供应系统健康评价方法

Health evaluation of liquid hydrogen providing system based on fuzzy data fusion method

提出了液氢供应系统健康状况的定量综合评价指标———健康度,将基于模糊集的数据融合方法用于健康度的计算。该方法利用层次分析法来确定各个传感器监测参数的重要程度系数,利用模糊综合评判对多传感器数据进行融合,利用二级指标评判融合策略对各时序点数据进行融合,最后通过去模糊化方法计算得到液氢供应系统的综合健康度和各个监测参数的健康度。在此基础上,建立了火箭发动机试验台液氢供应系统的健康评价体系。试验结果表明,该方法能够对试验台液氢供应系统的健康状况进行定量的、合理的评价。

The concept of health degree was defined, which is used as a quantitative index for evaluation of the health condition of liquid hydrogen supplying system. The method of fuzzy data fusion was used to calculate the health degree. In this method the weight of each monitoring sensor was calculated by AHP （Analytic Hierarchy Process）, then, the multi-sensor data were fused by the fuzzy comprehensive evaluation method, next, the sequence data were fused by two grade index evaluation, finally, the comprehensive health degree of the supplying system and the health degree of each monitoring factor were calculated by defuzzification method. Base on these, the health condition evaluation system of the liquid hydrogen supplying system of a rocket engine testing platform was set up. Experiments show that this evaluation system can be applied to evaluate the health condition of the liquid hydrogen supplying system properly and quantitatively.