A Fault Diagnosis of Suck Rod Pumping System Based on Wavelet Packet and RBF Network

Abstract:

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In order to diagnose the fault of the pump oil well, a fault diagnosis method based on the wavelet packet and the neural network is introduced. Firstly, the dynamometer card of the pumping well is gathered and normalized, then these data are decomposed by using three layers of wavelet packet. It makes up eight energy eigenvectors which are regarded as the input eigenvector of the RBF network. The experiment indicates that the method can not only detect the fault of the pumping oil well but also can recognize the fault type of it. It shows that the method is very effective for safety protection and fault diagnosis in the pumping oil well.

Info:

Periodical:

Advanced Materials Research (Volumes 189-193)

Edited by:

Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang

Pages:

2665-2669

DOI:

10.4028/www.scientific.net/AMR.189-193.2665

Citation:

W. Wu et al., "A Fault Diagnosis of Suck Rod Pumping System Based on Wavelet Packet and RBF Network", Advanced Materials Research, Vols. 189-193, pp. 2665-2669, 2011

Online since:

February 2011

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Price:

$35.00

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