节点文献
基于数据融合方法的故障预测系统集成
An Integration of PHM System based on data fusion
【Author】 Hao Yanhong Wang Jiali (School of Electromechanical Engineering,Xidian University,Xi’an,710071,China)
【机构】 西安电子科技大学机电工程学院;
【摘要】 随着故障预测技术的发展,故障预测系统的结构和功能越来越复杂,建立起综合的故障预测系统势在必行。本文提出了一种故障预测综合系统的方案,并对各个部分的功能进行了详细描述。随着故障预测系统综合程度的提高,各部分功能日趋细化和专业。本文针对故障预测系统数据来源的不确定程度较高这一问题,提出了一种基于温度和电压的数据融合算法,减少了预测的不确定度。
【Abstract】 With the development of PHM(Prognostic and Health Management/Monitoring) technology,it becomes more and more complex and functional.It tends to an integration of PHM system.The paper gives an integration of PHM system as a whole,and an elaborate description of it as well.Because every module of the PHM system is designed for special purpose,it becomes necessary to implement every part concretely,and proper algorithm may be in use.As the uncertainty of data source is one of its key point to PHM technology,the paper presents a data fusion algorithm based on temperature and voltage to reduce this uncertainty.It has voltage test pattern,temperature and energy as its sensors’ inputs.
- 【会议录名称】 第十九届测控、计量、仪器仪表学术年会(MCMI’2009)论文集
- 【会议名称】第十九届测控、计量、仪器仪表学术年会(MCMI’2009)
- 【会议时间】2009-11-06
- 【会议地点】中国广西桂林
- 【分类号】TP183
- 【主办单位】中国电子学会