特征 类型 | 运行 次数 | SVM | PSO-SVM | ||||
训练模型 准确率/% | 测试模型 准确率/% | 诊断时间/s | 训练模型 准确率/% | 测试模型 准确率/% | 诊断时间/s | ||
时域 | 1 | 71.3 | 58.62 | 33.99 | 78.26 | 75.86 | 13.1 |
2 | 71.3 | 62.07 | 42.42 | 80.87 | 65.52 | 12.55 | |
3 | 74.41 | 69.57 | 52.66 | 75.65 | 75.86 | 6.55 | |
4 | 71.3 | 55.17 | 49.86 | 80 | 68.97 | 10.01 | |
5 | 73.9 | 55.17 | 52.69 | 75.65 | 75.86 | 6.88 | |
平均 | 72.04 | 60.12 | 46.324 | 78.09 | 72.41 | 9.818 | |
频域 | 1 | 89.56 | 79.31 | 28.35 | 100 | 100 | 5.09 |
2 | 86.96 | 89.66 | 34.91 | 100 | 100 | 3.27 | |
3 | 83.48 | 82.76 | 26.56 | 100 | 100 | 3.24 | |
4 | 87.83 | 86.21 | 31.38 | 100 | 100 | 3.24 | |
5 | 82.61 | 65.52 | 35.65 | 100 | 100 | 3.34 | |
平均 | 86.088 | 80.692 | 31.37 | 100 | 100 | 3.636 | |
时频域1 | 1 | 84.35 | 79.31 | 47.32 | 100 | 100 | 9.39 |
2 | 85.22 | 75.86 | 49.87 | 100 | 100 | 9.37 | |
3 | 89.57 | 79.31 | 48.63 | 100 | 100 | 7.87 | |
4 | 87.83 | 86.21 | 50.79 | 100 | 100 | 8.03 | |
5 | 88.7 | 82.76 | 48.86 | 100 | 100 | 9.49 | |
平均 | 87.134 | 82.76 | 49.094 | 100 | 100 | 8.83 | |
时频域2 | 1 | 56.67 | 16.67 | 12.59 | 90 | 33.33 | 5.92 |
2 | 50 | 33.33 | 14.54 | 96.67 | 16.67 | 4.13 | |
3 | 56.67 | 0 | 13 | 83.33 | 33.33 | 5.02 | |
4 | 56.67 | 16.67 | 15.61 | 96.67 | 50 | 4.36 | |
5 | 46.67 | 0 | 11.54 | 80 | 83.33 | 4.69 | |
平均 | 53.336 | 13.334 | 13.456 | 89.334 | 43.332 | 4.824 |