Research Article
Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing
Table 5
Results of mining association rules.
| Types | fBPFO | fBSF | fBPFI | f | xMV | xSD | xRMS | xRA | xCF | xS | xK | xKC |
| Normal | a2 | | c2 | d3 | e4 | f3 | | h2 | i2 | j3 | k3 | l3 |
| IR 0.007 | a4 | b4 | c9 | d3 | | f6 | | h7 | i5 | j4 | k4 | l4 | IR 0.014 | a4 | | | d5 | | f4 | | h3 | | | k4 | l10 | IR 0.021 | a4 | b8 | c10 | d10 | | f9 | | h10 | | | k6 | l5 |
| B 0.007 | a3 | b3 | c3 | d3 | | f3 | | h3 | | j3 | k3 | l3 | B 0.014 | a3 | b3 | | d3 | e2 | | | h2 | | j3 | k3 | | B 0.021 | | b4 | c3 | | | f3 | | h3 | | j3 | k3 | l3 |
| OR 0.007 | a10 | | | | | f10 | | h10 | i9 | j10 | | l5 | OR 0.014 | a2 | b3 | c3 | d3 | | f3 | | | i2 | j3 | k3 | l3 | OR 0.021 | a10 | b10 | | d10 | e2 | f10 | | h8 | i10 | | k10 | |
|
|