基于模糊信息多级融合的故障诊断  

Fault diagnosis based on fuzzy information multi-level fusion

作　　者：孟宪尧[1] 戴利雄[1] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026

出　　处：《大连海事大学学报》2008年第4期48-51,共4页Journal of Dalian Maritime University

基　　金：国家"九七三"项目前期专项(2008CB417215)

摘　　要：为进一步提高综合故障诊断的可靠性,提出一种基于模糊信息多级融合的故障诊断方法,在传统模糊信息融合故障诊断的基础上,将各级诊断数据重新融合后再进行系统的综合故障诊断.对船舶主动力系统故障诊断的应用表明,该方法较传统方法更准确有效,在局部传感器误检的情况下仍作出了准确的故障诊断,可为提高大型系统故障诊断的可靠性提供有益的借鉴.To enhance the reliability of synthetical fault diagnosis, a fault diagnosis method based on fuzzy information multilevel fusion was developed. Synthetical fault diagnosis was carried out after fusing again the diagnostic data in each level based on conventional fault diagnosis method. Tests on ship main power system show that the method is more accurate and effective comparing with conventional method. Even in the case of failures of the local detection sensor, the method can still make correct fault diagnosis, which gives a beneficial reference to enhance the reliability of fault diagnosis for large systems.

关 键 词：故障诊断 模糊信息 多级融合 可靠性 

分 类 号：TP806.3[自动化与计算机技术—检测技术与自动化装置]