基于数据相关性分析的燃气-蒸汽联合循环机组传感器在线故障监测系统

Online Monitoring System for Sensor Faults in CCGT Power Plants Based on Analysis of Data Relevance

燃气-蒸汽联合循环机组布置了大量传感器,各传感器测量数据间包含了丰富的冗余信息。以SQL作为数据库开发工具,以C#作为开发语言,构建了一个基于数据相关性分析的传感器在线故障诊断系统。系统通过对传感器冗余信息的挖掘研究,根据历史数据分析传感器间的相关性,基于此建立传感器数据模型,在线实时计算传感器的重构值,并与传感器测量值进行对比,进而判断各传感器的运行状态,对故障状态传感器进行报警和后续处理,以提高能效分析与机组监测系统的可信度和可靠性。

By using SQL as the database development tool and C# as the development language,establishes an online monitoring system for multiple sensors faults.By researching on mining sensor redundant information,the system establishes a data model of the sensors according to the analysis of correlation between sensors.Through the model,the model calculate the reconfiguration value of the sensors simultaneously.And then,can judge the operation state of the sensors by comparing the reconfiguration value with the measured value.It can help to improve the reliability of energy efficiency and power plant system monitoring.