A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification

Table 6

Mean values of features of all samples.

Features	Normal		Erratic		Drift		Hardover		Spike		Stuck
Fault insertion point	Dataset 1	Dataset 2	Dataset 1	Dataset 2	Dataset 1	Dataset 2	Dataset 1	Dataset 2	Dataset 1	Dataset 2	Dataset 1	Dataset 2
Mean	25.14	25.14	25.14	25.13	26.39	33.67	40.14	39.42	25.20	25.24	25.05	25.14
STD	0.97	0.97	2.98	2.88	1.88	8.02	15.03	11.97	1.24	1.38	0.81	0.76
VAR	0.95	0.95	8.93	9.00	3.57	86.64	226.08	151.99	1.55	1.96	0.71	0.67
RMS	795.07	795.07	795.16	794.95	834.68	1064.80	1269.41	1246.57	796.97	798.28	792.25	795.11
PPV	7.45	7.45	24.91	24.45	10.86	30.23	36.93	36.68	14.85	15.04	6.97	6.63
Sign	1	1	1	1	1	1	−1	−1	1	1	1	1
SRA	25.13	25.13	25.05	25.04	26.36	33.12	38.68	38.43	25.18	25.22	25.04	25.13
KV	4.82	4.82	5.40	6.82	2.77	3.19	1.01	5.99	27.67	25.67	7.37	23.48
SV	−0.3226	−0.3226	−0.0041	−0.0698	0.5293	0.6979	−0.0001	0.0942	2.9003	3.0904	−0.2370	−0.4364
CF	114	1.14	1.48	1.46	1.22	1.47	1.36	1.47	1.43	1.44	1.14	1.12
IF	1.14	1.14	1.49	1.47	1.23	1.52	1.45	1.55	1.44	1.44	1.14	1.12
MF	1.14	1.14	1.49	1.48	1.23	1.54	1.51	1.59	1.44	1.44	1.14	1.12
FF	1.0007	1.0007	1.0070	1.0070	1.0025	1.0286	1.06778	1.0513	1.0012	1.0015	1.0006	1.0004
KF
FC	52.50	52.50	108.91	106.05	59.67	104.61	130.43	135.85	59.35	60.47	45.20	43.87
SFFT	126.00	126.00	126.00	126.00	126.00	126.00	126.00	126.00	126.00	126.00	126.00	126.00
RMSF	795.67	795.67	800.76	800.58	836.81	1099.13	1355.46	1307.12	797.94	799.51	792.70	795.54
RVF	793.93	793.93	793.31	793.20	834.68	1094.06	1349.17	1299.89	795.73	797.21	791.41	794.30