Paper Title:
Partial Friction Fault Diagnosis of Electrical Submersible Pump Based on Support Vector Machines
  Abstract

Exact diagnosis of electrical submersible pump (ESP)partial friction fault may avoid magnitude economic loss. Three-dimensional vibration accelerations of ESP were measured with acceleration transducer. Since working well ESPs are deeper in the earth, vibration signals seriously fade. This paper proposed that SVM is employed as classifier and wavelet parameters as features for ESP partial friction fault diagnosis. After SVM parameters selection with grid method, the highest recognition rate is up to 86.7%. Results indicate that SVM is competent not only for small sample recognitions but also for recognitions based on faintness signal. A new method is provided for ESP partial friction fault diagnosis.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1689-1692
DOI
10.4028/www.scientific.net/AMR.219-220.1689
Citation
C. Yao, M. Z. Li, G. F. Liu, "Partial Friction Fault Diagnosis of Electrical Submersible Pump Based on Support Vector Machines", Advanced Materials Research, Vols. 219-220, pp. 1689-1692, 2011
Online since
March 2011
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Price
$32.00
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