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

Table 6

Identified key sensors using stepwise regression and machine learning.

Features	SR (%)	MARS (%)	RF (%)	XGB (%)	Average (%)
Sensor_11	76.64	35.1	25.71	7.02	36.12
Sensor_9	10.01	9.78	6.3	49.52	18.9
Sensor_12	6.77	12.3	13.99	34.26	16.83
Sensor_4	2.59	22.33	22.06	7.49	13.62
Sensor_7	1.47	6.44	7.81	0.23	3.99
Sensor_15	0.76	3.66	5.01	0.2	2.41
Sensor_21	0.61	5.33	2.8	0.09	2.21
Sensor_20	0.3	1.4	6.18		1.97
Sensor_2	0.36	1.01	2.76		1.03
Sensor_17	0.21	0.64	3.19		1.01
Sensor_14	0.07	0.53	1.52	0.43	0.64
Sensor_3	0.18	0.19	1.57		0.49
Sensor_13			0.63	0.67	0.33
Sensor_8	0.01	0.49	0.46	0.09	0.26
Sensor_6	0.02	0.79			0.2