多源信息融合故障诊断方法研究进展  

Research progress in fault diagnosis methods based on multi-source information fusion

作　　者：张成军[1] 阴妍[1] 鲍久圣[1] 纪洋洋[1] 

机构地区：[1]中国矿业大学机电工程学院,江苏徐州221116

出　　处：《河北科技大学学报》2014年第3期213-221,共9页Journal of Hebei University of Science and Technology

基　　金：国家自然科学基金(51205393);中央高校基本科研业务费专项资金(2013QNB13)

摘　　要：简述多源信息融合与故障诊断的关系,指出多源信息融合故障诊断的一般方法。从融合结构和融合算法的角度对多源信息融合故障诊断方法进行了分类阐述,并分别说明其诊断原理与研究现状;指出信息融合故障诊断按融合结构可分为层次结构信息、多级信息和组合神经网络的融合故障诊断,按融合算法分为基于贝叶斯理论、DS证据理论、模糊集理论、粗糙集理论和人工神经网络的融合故障诊断。最后展望了信息融合故障诊断方法的未来发展趋势。The relationship between the multi-source information fusion and the fault diagnosis is briefly presented, and the general approach of multi-source information fusion based fault diagnosis is introduced. From the viewpoint of fusion structure and algorithms, the classified presentation is given about the multi-source information fusion based fault diagnosis method, and the diagnosis principle and the research status are also described, respectively. It is pointed out that the information fusion fault diagnosis method can be divided into hierarchy, multi-level and combination of neural network information fusion fault diagnosis from the aspect of fusion architecture. From the fusion algorithms, it can be divided into the Bayesian theory, DS evidence the- ory, fuzzy sets theory, rough sets theory and artificial neural network fault diagnosis methods of multi-source information fu- sion. Finally, some future development trends of information fusion based fault diagnosis methods are given.

关 键 词：故障诊断 多源信息融合 融合结构 融合算法 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]