Research Article

Metal Roof Fault Diagnosis Method Based on RBF-SVM

Table 5

The training and testing dataset of RBF-SVM.

Strain avgStrain stdDisp. avgDisp. stdDiff.Rolling corr.Rolling cov.Labels

17.48600.12680.70000.00000.23710.810.020
17.45100.14080.70000.00000.23290.810.020
17.69950.15130.70000.00000.26240.810.020
17.80220.12730.75000.05040.26860.810.020
.....................
22.14100.04524.12440.30180.38290.150.021
22.07450.05444.10630.26470.37710.040.011
22.02670.04944.14180.28920.3673−0.09−0.011
21.87380.07794.07730.30070.3568−0.19−0.031
.....................
22.86080.07871.80000.00000.7435−0.66−0.112
22.87130.10051.80000.00000.7447−0.63−0.102
22.90870.10931.80000.00000.7492−0.59−0.092
.....................
23.68920.12381.90000.00000.82980.900.013
23.58770.11081.90000.00000.81770.920.013
23.67520.11321.90000.00000.82810.930.013
.....................
21.11180.0458−0.41920.08760.25600.050.004
21.18990.0339−0.28000.07830.24340.390.014
21.20040.0303−0.05230.10140.19890.580.034
21.20440.03140.12710.06380.16290.690.044
17.48600.12680.70000.00000.23710.810.020