Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Table 4

Ranking-based feature selection using ReliefF algorithm.

Accuracy in percentage
Position	Order/rank	Features	Complex tree	Medium tree	Simple tree	Linear SVM	Quadratic SVM	Cubic SVM	Fine Gaussian SVM	Medium Gaussian SVM	Coarse Gaussian SVM
1	6	Skew_1Z	33.1	23	16.4	12.0	20.5	23.4	19.8	15.2	8.4
1_2	5	Skew_1Y	58.5	28.7	20.3	25.9	39.3	53.7	40.1	24.7	10.7
1_3	4	Skew_1X	64.8	34.0	20.1	39.1	59.1	69.1	54.7	33.4	14.4
1_4	11	Min_1Y	76.2	49.9	20.0	54.8	70.3	76.8	74.0	53.1	28.2
1_5	15	Max_1Z	81.1	51.8	18.2	63.8	78.9	80.1	82.5	63.9	40.7
1_6	12	Min_1Z	83.0	53.7	18.2	70.7	80.3	80.2	85.2	67.1	44.7
1_7	14	Max_1Y	85.7	56.7	18.2	72.8	82.5	84.4	89.5	75.6	53.2
1_8	10	Min_1X	85.2	58.9	18.4	78.0	83.8	85.9	89.7	80.1	60.1
1_9	3	Kurtosis_1Z	87.3	55.0	18.4	78.9	84.9	86.4	89.3	80.1	63.4
1_10	2	Kurtosis_1Y	87.3	55.0	18.4	78.7	85.5	86.5	89.4	81.7	63.2
1_11	1	Kurtosis_1X	88.7	55.5	18.4	78.1	86.1	86.5	88.7	83.4	63.4
1_12	13	Max_1X	88.7	56.0	18.4	80.4	86.4	86.7	88.8	82.7	66.4
1_13	9	Rms_1Z	88.7	65.0	22.4	79.4	85.7	87.5	88.5	87.9	67.2
1_14	8	Rms_1Y	89.2	65.0	22.4	79.9	86.1	87	88.4	83.3	67.4
1_15	7	Rms_1X	88.4	65.0	22.4	79.7	85.9	86.5	88.1	83.2	67.2
1_16	18	EN_1Z	89.3	64.9	22.4	79.7	85.7	86.4	87.8	83.4	67.3
1_17	17	EN_1Y	89.2	64.7	22.4	79.3	85.7	86.2	87.6	83.1	67.2
1_18	16	EN_1X	89.1	64.7	22.4	79.2	85.9	86.5	87.4	83.7	66.9