Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis

Table 2

Original features constructed by wavelet packet energy spectrums of rolling bear dataset1.

Energy band	Normal				Inner race fault					Outer race fault
	𝑥1	𝑥2	⋯	𝑥40	𝑥41	𝑥42	⋯ ⋯	𝑥80	⋯	𝑥121	𝑥122	⋯	𝑥160
1	0.6363	0.6593	⋯	0.6046	0.0172	0.0181	⋯	0.0160	⋯	0.0303	0.0287	⋯	0.0284
2	0.1865	0.1622	⋯	0.2291	0.4220	0.4204	⋯	0.4222	⋯	0.1484	0.1579	⋯	0.2012
3	0.0074	0.0075	⋯	0.0071	0.0648	0.0701	⋯	0.0742	⋯	0.1505	0.1522	⋯	0.1463
4	0.1654	0.1666	⋯	0.1554	0.0451	0.0373	⋯	0.0338	⋯	0.0220	0.0223	⋯	0.0275
5	0.0004	0.0004	⋯	0.0004	0.0107	0.0110	⋯	0.0114	⋯	0.0010	0.0010	⋯	0.0009
6	0.0013	0.0012	⋯	0.0012	0.0311	0.0290	⋯	0.0256	⋯	0.0085	0.0087	⋯	0.0073
7	0.0005	0.0004	⋯	0.0005	0.3345	0.3383	⋯	0.3387	⋯	0.6169	0.6076	⋯	0.5681
8	0.0023	0.0025	⋯	0.0018	0.0745	0.0758	⋯	0.0782	⋯	0.0225	0.0216	⋯	0.0203