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

Table 4

The feature vector of cutting sound signal.

Sample number	Feature vector
1	[0.7918, 0.8348, 0.6840, 0.6662, 0.6728, 0.2799, 0.5645, 0.3014, 0.0778, 0.0571, 0.1491, 0.1436, 0.1539, 0.3018, 0.2394, 0.3293]
2	[0.7580, 0.8097, 0.7496, 0.6550, 0.6429, 0.2441, 0.5348, 0.2728, 0.1093, 0.0638, 0.1180, 0.1777, 0.1924, 0.3794, 0.2982, 0.4088]
3	[0.7569, 0.7500, 0.6837, 0.6211, 0.6323, 0.2123, 0.5254, 0.2497, 0.0766, 0.0786, 0.1650, 0.2138, 0.1962, 0.4333, 0.2939, 0.4577]
4	[0.7979, 0.6867, 0.7044, 0.6364, 0.6128, 0.2586, 0.5207, 0.2799, 0.0858, 0.1743, 0.1943, 0.2460, 0.2906, 0.4333, 0.3933, 0.4679]
5	[0.7069, 0.7678, 0.6523, 0.6789, 0.6609, 0.2893, 0.5471, 0.3269, 0.0940, 0.1060, 0.1646, 0.1755, 0.2290, 0.3997, 0.3537, 0.4320]
6	[0.7064, 0.7961, 0.5993, 0.6139, 0.2582, 0.3263, 0.5198, 0.3258, 0.1006, 0.0940, 0.2121, 0.1974, 0.3416, 0.3454, 0.2613, 0.3433]
7	[0.7707, 0.6345, 0.6857, 0.6141, 0.6036, 0.2438, 0.5117, 0.2614, 0.1335, 0.1619, 0.1396, 0.2814, 0.2743, 0.4821, 0.3710, 0.5139]
…	…
298	[0.5633, 0.6539, 0.6756, 0.6330, 0.3202, 0.4556, 0.5804, 0.4202, 0.3001, 0.1814, 0.1643, 0.2107, 0.3230, 0.3072, 0.2490, 0.3292]
299	[0.5550, 0.7038, 0.5930, 0.6688, 0.3250, 0.4413, 0.5975, 0.4143, 0.3332, 0.1067, 0.1729, 0.1559, 0.2629, 0.2559, 0.1962, 0.2670]
300	[0.5804, 0.7032, 0.6115, 0.6708, 0.2965, 0.4490, 0.5986, 0.4080, 0.4209, 0.1266, 0.1668, 0.1492, 0.2701, 0.2550, 0.1930, 0.2702]