CAJ | 학술논문

本文针对燃气轮机状态监测中随机误差与系统误差不易区分和辨别的难题，首次提出了利用统计学中的假设检验进行状态监测的方案。通过燃气轮机变工况模型确定假设检验中的燃气轮机运行参数的总体均值，并将实际采集的可测参数作为来自总体的样本，进行统计处理，得到统计量t。根据t分布临界值判断并完成监测任务，最后用LabVIEW编程计算实例论证了t检验的正确性。
본문침대연기륜궤상태감측중수궤오차여계통오차불역구분화변별적난제，수차제출료이용통계학중적가설검험진행상태감측적방안。통과연기륜궤변공황모형학정가설검험중적연기륜궤운행삼수적총체균치，병장실제채집적가측삼수작위래자총체적양본，진행통계처리，득도통계량t。근거t분포림계치판단병완성감측임무，최후용LabVIEW편정계산실례론증료t검험적정학성。
Considering that random error and system error in the gas turbine condition monitoring are not easy to distinguish and identi -fy, this article first put forward using statistical hypothesis test to solve the problem .Build gas turbine model to determine turbine operation's general parameters in the hypothesis test , set the actual collection of measurable parameters as the sample from the overall data, cope with the sample data and finally get the t statistic .According to the t-distribution threshold judgment to complete the monito-ring task and use LabVIEW programming to prove the correctness of the t-test.