Fault Diagnosis Method of the Construction Machinery Hydraulic System Based on Artificial Intelligence Dynamic Monitoring

Table 5

Network output for temperature subnet.

	m(f1)	m(f2)	m(f3)	m(f4)	m(f5)	m(f6)	Diagnostic result
Malfunction 1	0.9643	0.0002	0.0031	0.0000	1.0000	0.0003	Fuzzy diagnosis
Malfunction 2	0.0105	0.9725	0.0013	0.0021	0.0012	0.0041	Worn flow plate
Malfunction 3	0.0017	0.0018	0.9871	0.100	0.0120	0.0100	Loose boots