Shock and Vibration / 2019 / Article / Tab 2

Research Article

Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing

Table 2

Interval class-information entropy based on different discretization methods.

fBPFOfBSFfBPFIfxMVxSDxRMSxRAxCFxSxKxKC

Equal probability0.000.000.000.000.000.000.000.000.000.000.000.00
0.000.000.800.001.431.451.451.501.990.000.000.00
2.262.162.002.580.921.491.492.211.502.622.392.09
2.231.470.001.002.131.131.131.460.951.531.001.05
0.001.750.970.001.890.000.000.001.730.000.001.28

Equal density0.000.000.000.351.560.000.000.000.001.770.000.91
0.911.241.511.781.230.920.921.000.001.800.351.37
1.371.461.431.812.151.231.231.291.231.051.380.92
1.572.071.812.181.971.051.051.461.521.040.350.91
1.511.430.842.092.151.811.891.691.231.551.160.57

Equal width2.862.522.322.580.001.941.941.652.212.712.812.92
0.671.850.870.500.001.791.791.941.330.340.001.83
0.001.291.000.881.521.161.160.921.730.001.001.00
0.000.980.850.002.170.000.000.000.000.000.721.28
0.000.000.000.002.280.000.000.000.990.000.920.00

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