基于D-S证据理论的多传感器气体泄漏源判定

Determining Gas Leakage Source with Multi-sensor Based on D-S Evidence Theory

介绍D-S证据理论各函数的定义,并利用D-S证据理论的信息融合优势,将类概率函数应用于气体泄漏源判定中。利用Matlab编制一个仿真系统,校验算法的合理性,结果表明:基于类概率函数的D-S证据理论比Bayes推理融合规则和加权平均融合规则具有更高的确定度,可以准确地找到泄漏源的位置。

The functional meaning of D-S evidence theory was introduced; and making use of the D-S evidence theory's advantages in information fusion,the class-probability function was applied to the determination of the gas leakage source. Having Matlab adopted to compile a simulation system for checking the algorithm rationality shows that,the class-probability function-based D-S evidence theory,as compared to Bayes reasoning and fusion rule and the weighted average fusion rule,has higher degree of accuracy in determining the gas leakage source.