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Condition Monitoring and Faults Recognizing of Dish Centrifugal Separator by Artifical Neural Network Combined with Expert System

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2 Author(s)
Ma Xiaojian ; Eng. Res. Center of Adv. Textile Machinery, Donghua Univ., Shanghai, China ; Gan Xuehui

Structure of dish centrifugal separator is described firstly. According to the characters of the dish centrifugal separator's main faults, a serial of methods of extracting fault feature are figured out. In the process of classifying and recognizing faults, the advantages of expert system and artificial neural network are combined together. The experiment results show that the methods presented here are effective.

Published in:

Natural Computation, 2009. ICNC '09. Fifth International Conference on  (Volume:2 )

Date of Conference:

14-16 Aug. 2009

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