摘要
针对某型武器系统发电机组可靠性和维修保障性要求高的问题,根据变频发电机组系统故障特点提出了变频机组故障预测与健康管理系统的体系结构总体方案,研究了故障预测与健康管理系统体系结构各层的功能,探讨了某型变频机组健康监测系统关键技术。基于工业控制计算机设计了健康监测系统,提出了以Hilbert变换技术为核心的快速和智能的故障诊断算法,并通过实验验证了其有效性。系统实现了变频机组故障预测与健康管理的基本功能,为典型变频发电机组系统故障预测和保障提供了有效的方法。
To meet the requirement of high reliability and indemnificatory to power supply system of certain weapon system ,the general structure of prognostics and health management (PHM ) of frequency converter system based on its fault mechanism is presented ,the function of every layer in PHM of frequency converter system is explored ,and the key technology of PHM system is studied .By considering the rapid calculation requirement , PHM and database of maintenance based on industry personal computer are designed . Intelligent diagnosis algorithm and effective fault prognostics based on the Hilbert transform technology are proposed .The correctness and validity of the structure of PHM of frequency converter system are tested and verified though the experiments . T he system fulfils the basic functions of prognostics and health management for frequency converter system .It provides an effective method of prognostics and protection for typical frequency converter system .
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2014年第4期33-38,共6页
Journal of Chongqing University
基金
国家自然科学基金资助项目(61273156)
关键词
故障
预测
健康管理
变频机组
PHM结构
faults
prediction
health management
frequency converter system
PHM architecture