Integrating Feature Engineering with Deep Learning to Conduct Diagnostic and Predictive Analytics for Turbofan Engines

Table 11

Forecasting errors using SIR (sliced inverse regression).

Training	RF	XGB	SVM	DNN	RNN	LSTM	GRU	CNN
RMSE	19.35	19.55	21.16	21.76	21.72	22.09	21.61	19.35
MAE	14.58	15.27	14.31	17.81	17.75	18.38	17.57	14.58
MAAPE	23.14	23.22	23.09	26.18	26.01	26.41	25.63	23.14
Testing	RF	XGB	SVM	DNN	RNN	LSTM	GRU	CNN
RMSE	19.43	18.97	21.13	19.22	19.17	19.04	18.98	18.35
MAE	13.57	13.36	14.69	14.21	14.14	14.15	14.03	13.51
MAAPE	23.8	23.19	24.68	24.01	24.46	23.77	23.74	22.64