Research Article

Bearing Fault Diagnosis Using a Support Vector Machine Optimized by an Improved Ant Lion Optimizer

Table 3

Model optimization and bearing fault diagnostic results at 1500 r/min.

MethodsTime (s)Iteration numberSV numberTesting datasetTraining dataset
FaultsRecognition rate (%)FaultsRecognition rate (%)

EALO19.54876.97940.90651362Normal100Normal100
Inner100Inner96
Outer100Outer100
Ball98Ball100
Average99.5Average99
Total average99.25

ALO18.52338.37644.677110059Normal100Normal100
Inner94Inner94
Outer100Outer100
Ball98Ball98
Average98Average98
Total average98

GA-127.91212.49639.714210043Normal92Normal100
Inner90Inner88
Outer100Outer100
Ball98Ball98
Average95Average96.5
Total average95.75

GA-218.22719.55309.626410048Normal100Normal100
Inner94Inner96
Outer100Outer100
Ball98Ball98
Average98Average98.5
Total average98.25

GA-320.04409.13539.971310034Normal100Normal100
Inner94Inner96
Outer100Outer100
Ball100Ball98
Average98.5Average98.5
Total average98.5

GA-417.74364.621410.9412100163Normal100Normal100
Inner94Inner90
Outer100Outer100
Ball94Ball86
Average97Average94
Total average95.5

GA-510.6886-2.479210.3611100200Normal100Normal100
Inner92Inner88
Outer100Outer100
Ball0Ball4
Average73Average73
Total average73

PSO-122.30695.946710.669810041Normal100Normal100
Inner92Inner96
Outer100Outer100
Ball98Ball98
Average97.5Average98.5
Total average98

PSO-230.00002.52389.101010047Normal52Normal68
Inner92Inner98
Outer100Outer100
Ball98Ball98
Average85.5Average91
Total average88.25

PSO-330.00009.80348.9303100171Normal96Normal98
Inner72Inner78
Outer98Outer100
Ball82Ball70
Average87Average86.5
Total average86.75

PSO-419.00398.09558.337410056Normal100Normal100
Inner94Inner9
Outer100Outer100
Ball98Ball98
Average98Average98
Total average98

PSO-510.8694-1.96478.8360100200Normal96Normal98
Inner72Inner78
Outer98Outer100
Ball50Ball46
Average79Average80.5
Total average79.75