Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network

Table 9

Fault diagnosis results.

Test sample	1	2	3	4	5	6	7	8	9	10
BP output	0.9468	0.0212	0.0080	0.0271	0.0001	0.0359	0.0001	0.0282	0.0117	0.0644
	0.0000	0.0032	0.0090	0.0000	0.9895	0.0008	0.9978	0.0000	0.0057	0.0541
	0.0007	0.0004	0.0000	0.0000	0.0000	0.0005	0.0000	0.0000	0.0001	0.9295
	0.0165	0.0000	0.0000	0.9765	0.0000	0.0000	0.0001	0.9732	0.0000	0.0000
Diagnosis type	Gland-shaft fault	Normal	Normal	Motor fault	Mechanical seal fault	Normal	Gland-shaft fault	Motor fault	Normal	Reducer fault

The bold values represent the fault diagnosis results of BP neural network by using test samples.