Multisensor Fused Fault Diagnosis for Rotation Machinery Based on Supervised Second-Order Tensor Locality Preserving Projection and Weighted -Nearest Neighbor Classifier under Assembled Matrix Distance Metric

Table 3

Comparison of fault classification results based on three classifiers and ten types of reduced feature sets.

Classifier	Classification accuracy (%)
	F1	F2	F3	F4	F5	F6	F7	F8	F9	F10
SVM	99.8	97.5	96.0	88.67	89.17	92.22	84.5	86.8	87.5	83.33
MLP neural network	83.33	66.67	66.67	65.0	64.17	63.33	65.0	63.5	63.33	65.0
SVDD	98.5	97.22	94.33	90.33	94.17	67.5	83.33	76.67	82.22	82.5