CAJ | 학술논문

不同能观度的测量模型对重型燃气轮机故障诊断精度影响很大，对测量模型的优劣进行定量评价有重要意义。针对现有系统状态能观度分析存在的不足，提出一种新的基于能观矩阵奇异值分解的状态能观度分析方法，该方法在系统状态处于不同数量级时也可以准确计算系统各个状态的能观度。利用提出的能观度分析方法，计算得到了重型燃气轮机在设计工况下各状态的能观度和各测量对各状态能观度的敏感度排序。利用强跟踪滤波器对两种能观度测量模型下重型燃气轮机压气机故障诊断进行仿真，结果验证了文中方法的正确性，该方法可以用于测量模型优劣的定量评价。
불동능관도적측량모형대중형연기륜궤고장진단정도영향흔대，대측량모형적우렬진행정량평개유중요의의。침대현유계통상태능관도분석존재적불족，제출일충신적기우능관구진기이치분해적상태능관도분석방법，해방법재계통상태처우불동수량급시야가이준학계산계통각개상태적능관도。이용제출적능관도분석방법，계산득도료중형연기륜궤재설계공황하각상태적능관도화각측량대각상태능관도적민감도배서。이용강근종려파기대량충능관도측량모형하중형연기륜궤압기궤고장진단진행방진，결과험증료문중방법적정학성，해방법가이용우측량모형우렬적정량평개。
It has important significance for fault diagnosis accuracy of heavy-duty gas turbine to quantitatively evaluate the measurement model, different observable degrees of which would affect the fault diagnosis accuracy seriously. Considering the drawbacks of the current methods, a new method for observable degree analysis was proposed based on the singular value decomposition （SVD） of the observablity matrix. It can be used to analyze the observable degree for each state correctly even when the states of system have different order of magnitude. Based on the method, the observable degree for each state was obtained at the design point for heavy-duty gas turbine, and so the sensitivity order of each measurement to each state. Simulations of compressor fault diagnosis with the strong tracking filter （STF） were also conducted using two different observable degree measurement models, and the results prove the accuracy and the feasibility of the proposed method to quantitatively assess the merits of the measurement model.