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基于D_S证据理论的数据融合技术在故障诊断中的应用研究

pplication of Data Fusion Technology Based on D_S Evidence Theory in Fault Diagnosis

中文摘要英文摘要

在介绍D_S证据理论应用于多传感器数据融合的基本原理和方法的基础上,提出将其应用于故障诊断,并针对传感器数目比较多时模型算法过于复杂这一情况,构建了一个基于D_S证据理论的多传感器两两融合的多级诊断模型。并通过实例详细说明了诊断信息的具体融合过程。结果表明,该模型算法既简单易用又可以提高故障诊断的准确性和可靠性。

Introduced the basic principles and methods of D_S evidence theory applied in multi-sensor data fusion, and proposed to use it in fault diagnosis. Since the fact that the complexity of the algorithm would increase with the amount of the sensors, a multi-level diagnostic model which is based on D_S evidence theory with pairwisely fused sensors is proposed. An example is indicated, the fusion process of the diagnostic information is elaborated in details. The results indicate that the model algorithm is easy to use and can improve the accuracy and reliability of fault diagnosis.

刘湘黔、王丽丽

电子技术应用自动化技术、自动化技术设备

数据融合故障诊断_S证据理论

data fusionfault diagnosisD_S evidence theory

刘湘黔,王丽丽.基于D_S证据理论的数据融合技术在故障诊断中的应用研究[EB/OL].(2012-06-05)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201206-70.点此复制

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