Research Article

Fault Diagnosis for Wireless Sensor by Twin Support Vector Machine

Table 1

The experimental data.

X 1X 2X 3X 4X 5X 6X 7X 8X 9X 10Fault type

0.14610.12190.70391.7540.70420.72120.68840.71340.68790.6333Shock
0.14570.12270.70331.6050.71220.69910.70170.71210.66710.6748
0.14620.12250.70521.6690.70010.7120.66570.71450.670.6501
0.14630.12260.70441.5900.71830.70560.67750.70430.6810.6630
0.14580.12210.69881.6090.72110.72550.70110.71260.70280.684
0.14610.12280.70521.6030.68470.69390.65070.68020.66130.6217
0.14600.12210.70451.7130.71370.69770.66700.69300.67410.643

0.14620.12230.69971.1191.1491.1641.1641.1481.181.161Biasing
0.14600.12220.70271.1371.1531.1071.1491.1591.1661.179
0.14580.12210.69881.1261.1371.11.1721.1461.1721.181
0.14590.12240.70511.1531.1641.1241.1711.1641.1611.163
0.14610.12280.70521.2011.3571.0351.1921.1691.1611.159
0.14600.12210.70451.1631.1671.1221.1531.1441.1721.169

0.14590.12240.70510.18530.00380.00530.0010.000820.01260.0086Short circuit
0.14620.12250.70520.17520.00160.00310.00120.00120.01150.0064
0.14600.12210.70450.17550.00030.00550.00170.00090.01270.0063
0.14580.12210.69880.18490.00110.00490.00130.001150.00860.0078
0.14620.12250.70520.17520.00160.00310.00120.00120.001150.0064
0.14610.12280.70520.18550.00020.00120.0010.00880.00960.0082

0.14600.12210.70453.5463.7864.0464.1834.4924.6734.942Shifting
0.14620.12250.70523.5813.8124.0694.1564.4384.6194.923
0.14590.12240.70513.5273.8464.0574.1914.4934.6154.879
0.14600.12220.70273.5883.8194.0514.1684.5134.6924.851
0.14570.12270.70333.5933.7794.0534.1634.4724.7014.928
0.14580.12210.69883.6493.7984.0554.1614.4854.6884.899