Fault Diagnosis of Rotating Machinery Based on Multisensor Information Fusion Using SVM and Time-Domain Features

Table 6

Diagnostic results of rotor crack by using different features for fusion.

Feature	The best parameter		Diagnostic accuracy (%)
	𝐶	𝑔	Normal	Crack depth of 3 mm	Crack depth of 5 mm	All testing samples
Mean	2^4.5	2^12	98	94	100	98.67
Peak	2^0	2^9.5	72	86	88	85.33
Amplitude square	2^7	2^2	100	96	94	96.67
Root mean square	2^6	2^4	100	98	100	99.67
Root amplitude	2^5.5	2^3	100	92	100	97.33
Standard deviation	2^4	2^8	98	96	98	98.67
Skewness	2^5	2^−2	58	44	46	58.00
Kurtosis	2^3.5	2^−1	44	74	84	71.00
Waveform factor	2^2	2^3	34	80	84	72.33
Peak factor	2^2.5	2^−1.5	42	46	62	69.33
Pulse factor	2^−3	2^−1	28	74	76	64.00
Margin factor	2^1	2^−3	32	72	74	64.67