Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network

Table 2

Singular value decomposition results of vibration signals in different states of crankshaft bearing.

Wear degree of crankshaft bearing	Signal
Normal state	Group 1	102.3797	75.3013	54.9141	26.9316	14.4099
	Group 2	106.5650	78.3713	51.4455	20.2149	11.7647
	Group 3	107.3573	78.9566	46.7620	25.6204	12.5991
	Group 4	110.3927	75.6752	46.3543	25.3347	15.1932
	Group 5	108.7006	74.8050	51.1752	24.5572	14.2192
Slight wear	Group 1	217.9721	64.7321	37.0377	27.6948	15.9726
	Group 2	219.5561	65.1054	36.2118	27.7099	14.8522
	Group 3	220.7921	64.7638	36.4818	27.0298	15.3634
	Group 4	221.6588	65.6042	36.1307	28.3611	15.5129
	Group 5	218.1416	66.5646	38.8615	28.4011	15.9406
Severe wear	Group 1	253.2741	88.1292	40.9097	27.4871	15.9595
	Group 2	255.3187	89.2155	37.3920	25.3073	16.6829
	Group 3	228.0774	92.6607	43.8101	25.8627	17.3696
	Group 4	245.3930	98.4203	39.6401	24.2324	17.5652
	Group 5	253.1356	96.0376	38.6695	25.4074	15.6127