摘要
为了解决大型流程工业系统状态监测故障诊断系统的传感器优化配置问题,基于多级流模型(MFM)的传感器优化配置,在多级流模型分析的基础上,提出了一种改进的失效模式与影响分析(FMEA)方法。以故障可检测性及可分辨性作为约束函数,利用测点-故障敏感度、传感器可靠性及成本系数构造了一种新的复合优化目标函数,建立传感器优化配置模型并给出了优化算法,最后给出了电站除氧器实例。分析结果表明该方法的可行性和有效性。
For finding the optimized allocation of sensor to monitor status and fault diagnosis for large process industry system,an optimization method of sensor allocation based on multilevel flow model(MFM) is proposed.An updated method of FMEA is presented based on the systematic MFM.An optimization model of sensor allocation is setup with a basic constraint function by considering the detection capacity and the differential ability of the fault and a new composite optimized target function of parameters is the sensibility of testing point fault,reliability &cost factor of the fault.In addition,the corresponding algorithm is created.Finally,the case of power plant deaerator shows that the optimization model of sensor allocation is effective.It also provides a new way to study the optimized allocation of sensors for large process industry system with the target of fault diagnosis.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2012年第2期282-286,345,共5页
Journal of Vibration,Measurement & Diagnosis
基金
国家高技术研究发展计划("八六三"计划)资助项目(编号:2008AA04Z410)
浙江省自然科学基金资助项目(编号:Y1080843)
关键词
多级流模型
失效模式与影响分析
传感器优化配置
电站除氧器
multilevel flow model(MFM),failure modes &effect alysis(FMEA),optimization of sensor allocation,power plant deaerator
