复杂系统健康状态评估技术现状及发展  

Status and Perspectives of Health Condition Assessment for Complex System

作　　者：王亮[1] 吕卫民[2] 李伟[2] 曲正[3] 

机构地区：[1]海军航空工程学院研究生管理大队 [2]海军航空工程学院飞行器工程系 [3]中国人民解放军92154部队

出　　处：《计算机测量与控制》2013年第4期830-832,848,共4页Computer Measurement &Control

基　　金：国家部委预研基金(9140A27020110JB1404;9140A19030811JB1401)

摘　　要：PHM技术是近年来国内外对复杂系统进行维修保障的重要手段,健康状态评估作为PHM系统核心功能受到了极大关注;首先简单介绍了PHM技术及健康状态评估在PHM技术中的作用,其次分析了复杂系统健康状态评估的一般流程,重点阐述了目前国内外主要的健康状态评估方法,主要包括经典状态评估方法、机器学习算法、多模型信息融合方法及其他健康状态评估方法,最后指出了健康状态评估技术在工程应用上的发展趋势以及需解决的重点问题。The PHM technology is an important means for maintenance and support of complex systems in recent years. As one of the most crucial functions, health condition assessment has attracted considerable interest. The PHM technology and the effect of health condi-tion assessment in PHM system were introduced. Then the common flows of health condition assessment for complex systems were analyzed. The main methods of health condition assessment at home and abroad were emphasized, including traditional assessment methods, machine learning algorithms, multi-model information fusion and other methods. At last, the development trends in engineering applications and some crucial problems of health condition assessment were pointed out.

关 键 词：健康状态 评估方法 PHM技术 复杂系统 

分 类 号：N945.16[自然科学总论—系统科学]