Research of Fault Diagnosis of Belt Conveyor Based on Fuzzy Neural
Network
2014 ◽
Vol 8
(1)
◽
pp. 916-921
Keyword(s):
To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural network fault diagnosis of the belt conveyor. Results show that the fuzzy neural network can filter out unnecessary information; save time and space; and improve the fault diagnosis recognition, classification, and fault location capabilities of belt conveyor. The proposed model has high practical value for engineering.
2017 ◽
Vol 2017
◽
pp. 1-7
◽
Keyword(s):
2016 ◽
Vol 9
(7)
◽
pp. 275-282
◽
Keyword(s):
2013 ◽
Vol 634-638
◽
pp. 3716-3720
◽
Keyword(s):
2013 ◽
Vol 341-342
◽
pp. 478-481
2014 ◽
Vol 1014
◽
pp. 329-332
Keyword(s):
Keyword(s):
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