A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing

Table 2

Some of the dimension time-domain features.

Number	Mean value	Root mean square value	Root amplitude value	Crooked degree	Peak value	Variance	Maximum value	Feng-Feng value
1	0.008435	0.219334	0.136023	0.017431	0.017919	0.048107	1.440957	1.872766
2	−0.00601	0.198404	0.129573	0.009372	0.007169	0.039364	0.912906	1.281596
3	0.029603	0.245241	0.1616	0.018736	0.016446	0.060143	1.17327	1.594832
4	0.040591	0.25593	0.167282	0.021668	0.025214	0.0655	1.600798	2.093033
5	−0.0324	0.192693	0.126626	0.00949	0.007472	0.037131	0.977287	1.370114
6	−0.03391	0.167655	0.11473	0.004182	0.003009	0.028108	0.685338	1.04883
7	−0.00774	0.19325	0.126156	0.008213	0.006361	0.037346	0.827895	1.202846
8	−0.00372	0.219194	0.136029	0.020222	0.020906	0.048046	1.332877	1.701796