Research Article

Subspace Method Aided Data-Driven Fault Detection Based on Principal Component Analysis

Table 4

TE process: fault detection for test data (%).

FaultPCASMI-PCASMI-PCA KDE

99.299.81004.258001005.63800
98.098.699.463.8880099.55.25800
0011.973.7514.525.12
4.496.21004.628001006800
22.525.414.924.3717.435.75
98.91001004.628001006.12800
91.51001004.758001006.12800
96.697.697.703.6281197.815.12811
0012.43.6214.495.12
33.434.181.563.6281182.825.12811
20.664.498.673.6281198.785.12811
97.197.543.353.6281146.765.12811
94.095.598.813.6281198.855.12811
84.210099.823.6280199.865801
005.183.626.255.12
16.624.54.463.625.95.12
74.189.291.413.6281191.885.12811
88.789.930.633.6281132.495.12811
0.412.799.753.7580199.755.12801
26.44389.253.6281190.085.12811