According to the shortage of gas turbine engine combustor condition monitoring method

fault location and incipient fault detection

the low-turbine exhaust circumferential temperature field data were utilized to study the deflection law of gas in turbine through flow region

and the normalized temperature field data were analyzed by taking advantage of kernel principal component analysis (KPCA) method. Based on two engines' fault data

the fault detection and identification for the combustor fault and thermocouple sensor were developed respectively. The method of combining exhaust temperature field deflection law with kernel principal component analysis method to study combustor camber fault and thermocouple sensor fault was proved to be effective. Results show that

this method improves the fault orientation level from combustion level to camber level for gas turbine engine combustor with loop tube camber.