Mathematical Problems in Engineering / 2014 / Article / Tab 1

Research Article

A GM (1, 1) Markov Chain-Based Aeroengine Performance Degradation Forecast Approach Using Exhaust Gas Temperature

Table 1

The comparison results of GM (1, 1) model and GM (1, 1) Markov chain model.

CycleForecast model
Original valuesLinear modelNonlinear modelARIMA modelRBF modelGM (1, 1) model

42008673.08874.6692516876.2482045483.89377874.850179
44008671.80873.6311657185.0465915875.34529173.899849
46007670.52872.6075116985.0921201266.44067872.961583
48007269.24871.5980889779.5877599477.21313872.035231
50006467.96870.6026997169.8592474175.90772871.12064
52006666.68869.621148869.8592474151.43349970.217661
54007265.40868.6532438670.3702234677.5110569.326147
56007064.12867.6987951874.5763811268.51259568.445951
58005862.84866.7576156772.8461301652.13963567.576931
60006261.56865.8295208862.625519475.58412666.718945
62006660.28864.9143288865.4811939463.49673465.871852
64005859.00864.0118602968.5130231564.80864965.035514
66006057.72863.1219382461.4025934954.99081564.209794
68006056.44862.2443882962.7839143560.51870563.394558
70006055.16861.3790384362.4936845162.42886162.589673
72006453.88860.5257190762.2582558461.2412261.795007
74006052.60859.6842629465.6017109957.52704761.01043
76006851.32858.8545051162.0201560858.9222660.235815
78006250.04858.0362829668.827735953.70603359.471034
80006848.76857.2294361163.7294659460.03596258.715964
820066.547.48856.433806468.7509354860.23778757.97048
84006546.20855.6492379167.4726445767.03138857.234461
86005544.92854.8755768466.1745920553.43691956.507787
88005543.64854.1126715657.517473255.60291855.79034
90005742.36853.3603725457.3150629158.0424555.082001

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