A Novel Shearer Cutting State Recognition Method Based on Improved Variational Mode Decomposition and LSSVM with Acoustic Signals

Table 5

The new feature vectors after dimension reduction.

Sample number	New feature vector
1	[0.5014, 0.4801, 0.4248, 0.5117, 0.5391]
2	[0.4255, 0.2261, 0.3565, 0.5393, 0.5422]
3	[0.2646, 0.0710, 0.1204, 0.1617, 0.1227]
4	[0.2550, 0.1696, 0.1234, 0.1359, 0.1282]
5	[0.1544, 0.1578, 0.1280, 0.1221, 0.1007]
6	[0.1191, 0.1568, 0.1555, 0.1401, 0.1010]
7	[0.0741, 0.0696, 0.0689, 0.0566, 0.0628]
…	…
298	[0.0624, 0.0673, 0.0654, 0.0570, 0.0542]
299	[0.0269, 0.0306, 0.0317, 0.0265, 0.0243]
300	[0.0253, 0.0299, 0.0268, 0.0251, 0.0240]