Full Information Fusion and its Application in Fault Diagnosis for Rotary Machinery
2011 ◽
Vol 66-68
◽
pp. 1315-1319
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Keyword(s):
The rotor motion and the information fusion of single section were discussed; the fault diagnosis method for rotary machinery based on the full information fusion of two sections was put forward, and the back propagation neural network model was established. Engineering practice indicated that the fault diagnosis accuracy based on the information fusion of two sections was higher than that based on the information fusion of single section.
2012 ◽
Vol 538-541
◽
pp. 1956-1961
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2014 ◽
Vol 2014
◽
pp. 1-9
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Keyword(s):
2021 ◽
pp. 095440702110148
2016 ◽
Vol 12
(05)
◽
pp. 53
◽
Keyword(s):
2012 ◽
Vol 490-495
◽
pp. 942-945
Keyword(s):
Keyword(s):