摘要
针对由于发电机组设备故障而引起的电厂非计划停机所带来的不必要的经济损失问题,在故障诊断技术的基础上,对电厂开展了故障预警系统研究。故障预警系统包括状态估计和监测两个模块,通过分析故障预警系统的建模方法,提出了利用相似性方法实现设备状态估计,通过比较设备实时数据与历史正常数据之间的相似关系估计设备可能达到的状态。监测模块接收设备实时状态数据或估计状态数据后,判断设备状态,并显示故障关联信息,为工作人员分析故障原因提供了参考。最后,对山西某电厂的预警案例进行了介绍。研究结果表明,该故障预警系统可全面分析其所监控的所有设备信息、辨识设备性能异常状况,使发电企业能够在设备故障形成早期发现征兆,提前采取措施以避免设备故障的发生。
Aiming at unplanned downtime of the power plant which caused by generating equipments failure caused unnecessary economic loss,the power plant launched failure prognostic warning system based on fault diagnosis was studied.Failure prognostic system was consisted of two model,state estimation and monitoring.By analyzing the modeling method of failure prognostic system,the method was proposed that using the similarity modeling to realize equipment state estimation.By comparing the similarity relationship between real-time data and historical normal data of equipment,the possible state of equipment was estimated.After monitoring module receiving equipment real-time data and estimate state data,the equipment status was judged,and the failure information was shown for the staff to provide reference to analyzing related reason of the failure.Finally the failure prognostic case of a power plant in Shanxi was introduced.The results show that,the failure prognostic system can analyze the equipment information and identify equipment performance anomalies,so that generating companies can detect the signs of equipment failure before failure happened and take measures to avoid equipment failure early.
出处
《机电工程》
CAS
2012年第5期576-579,共4页
Journal of Mechanical & Electrical Engineering
关键词
相似性
故障预警
建模
电厂
similarity
failure prognostic
modeling
power plant
