摘要
研究基于多传感器信号的船舶用柴油机冷却系统的健康状况评价问题,提出了船舶用柴油机冷却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计算得到系统的健康度,以此为基础,建立了船舶用柴油机冷却系统的健康评价体系,给出了系统的健康状况等级.实验结果表明该方法能够对其健康状况进行定量的、合理的评价.
The theory based on multi-sensor information fusion for the health condition evaluation of watercraft diesel engine cooling system was studied. The concept of heealth degree was defined, which was used as a quantitative index to evaluate the health condition of the watercraft diesel engine cooling system. The method of fuzzy data fusion was used to calculate the health degree, and 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. Based on these, the health condition evaluation system of watercraft diesel engine cooling system was set up which can give the health degree and health condition grade of the system. Experimental results show that: this approach can evaluate the health condition of the cooling system quantitatively and properly.
出处
《测试技术学报》
2006年第3期264-269,共6页
Journal of Test and Measurement Technology
关键词
船舶用柴油机冷却系统
数据融合
模糊综合评判
层次分析法
健康评价
健康度
watercraft diesel engine cooling systems data fusion
fuzzy comprehensive evaluations AHP
health evaluation
health degree