摘要
研究了多传感器信息融合技术应用于复杂设备系统状态监测和故障诊断的方法。简述了多传感器信息决策层融合及 Dempster- Shafer证据理论的基本内涵 ,研究了基于 Dem pster- Shafer证据理论的决策层信息融合进行状态监测和故障诊断的算法 ,利用这一方法对柴油机的工作过程多种故障进行了诊断识别应用 ,其分析结果表明 ,该方法可有效地提高柴油机故障诊断的准确性和可靠性。
This paper mainly discusses the conception of Multisensor data fusion and the Dempster Shafer's evidence theory. The construction of the basic probability assignment function in the Dempster Shafer's model is given to fuse the information from different sensors at the decision level.The theory and the fusion algorithm are used to recognize and classify the faults of a diesel engine. The final results indicate that the multisensor fusion method is stable, reliable ,and can efficiently improve the accuracy and the ability of fault diagnosis.
出处
《机械科学与技术》
CSCD
北大核心
2000年第6期950-952,943,共4页
Mechanical Science and Technology for Aerospace Engineering
关键词
多传感器信息融合
故障诊断
柴油机
Multisensor data fusion
Dempster Shafer' s evidence theory
Fault diagnosis
