西南石油大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (4): 176-180.DOI: 10.3863/j.issn.1000-
• 石油机械工程及其它 • Previous Articles Next Articles
ZHAO Peng-cheng ZHU Huan-qin MENG Fan-qin QIN Yong
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Abstract: The oil pump is the important equipment of the oil deport.It′s very significant to assert and diagnose the pump fault.Adopting the fault diagnosis technology to examine the pump,finding out the fault and deal with it are the important aspects to the oil depot′s safety.According to the advantage of the wavelet neural network,in the paper,the three layers BP wavelet neural network is used to set up the fault diagnosis model and to diagnose the pump fault.This method can abstract the feature and selfstudy and selfadoption.It is easy to assert and diagnose the pump fault.It can realize the database management of the neural network study fault feature abstraction and the output of the neural network,the good effect is acquired in the oil pump fault diagnosis.As a result,a new way is provided to supervise and diagnose the pump fault by combining the wavelet analysis and the neural network.It is very significant to the oil deport.
Key words: wavelet neural network, oil pump, fault diagnosis
CLC Number:
TE973.3
ZHAO Peng-cheng ZHU Huan-qin MENG Fan-qin QIN Yong. THE OIL PUMP FAULT DIAGNOSIS BASED ON THE WAVELET NEURAL NETWORK [J]. 西南石油大学学报(自然科学版), 2008, 29(4): 176-180.
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http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2008/V29/I4/176