基于专家模拟故障数据的智慧电厂发电机在线监测分析软件测试方法研究

Research on Test Method of Online Monitoring and Analysis Software for Generators in Smart Power Plant Based on Expert Simulation Fault Data

智能诊断软件是“智慧电厂”的重要组成部分。本文提出一种基于专家模拟故障数据的智能诊断软件测试方法,并搭建了一套发电机在线监测分析软件测试平台。该智能诊断软件测试方法以专家知识为基础,结合同型号发电机组真实运行数据、典型故障数据和发电机运维故障库,构造专家模拟故障数据及故障清单。将专家模拟故障数据输入发电机在线监测分析软件进行诊断,得到诊断结果。对比诊断结果与专家模拟故障清单,综合评价智能诊断软件的故障识别率和诊断准确率。最后以发电机集电环故障诊断功能为例进行了测试验证,测试结果达到了预期。

Intelligent diagnostic software is an important part of"smart power plant".This paper proposes an intelligent diagnosis software test method based on expert simulation fault data,and builds a set of generator online monitoring and analysis software test platform.The intelligent diagnostic software testing method is based on expert knowledge,combined with the real operating data,typical fault data and generator operation and maintenance fault database of the same model generator set to construct expert simulation fault data and fault list.The expert simulation fault data is input into the generator online monitoring and analysis software for diagnosis,and the diagnosis result is obtained.By comparing the diagnosis results with the expert simulation fault list,the fault recognition rate and diagnosis accuracy rate of the intelligent diagnosis software are comprehensively evaluated.Finally,a test verification was conducted with the fault diagnosis function of the generator slip ring as an example,and the test results reached expectations.