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

Table 9

Explained proportions of variances for the top three principal components.

Features	PC1	PC2	PC3
Sensor_2	0.273	0.018	0.022
Sensor_3	0.26	0.077	0.031
Sensor_4	0.301	0.01	0.018
Sensor_6	0.062	−0.048	−0.997
Sensor_7	−0.298	0.052	−0.016
Sensor_8	0.281	−0.243	0.032
Sensor_9	0.105	0.643	−0.026
Sensor_11	0.309	−0.015	0.015
Sensor_12	−0.304	0.062	−0.022
Sensor_13	0.281	−0.245	0.024
Sensor_14	0.066	0.666	−0.029
Sensor_15	0.287	0.022	0.007
Sensor_17	0.269	0.078	0.012
Sensor_20	−0.282	−0.019	−0.015
Sensor_21	−0.283	−0.024	−0.022