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Application of support vector machines to sensor fault diagnosis in ESP system

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4 Author(s)
Shui-Bo Zheng ; Sch. of Electr. & Inf. Eng., Shanghai Jiao Tong Univ., China ; Zheng-Zhi Han ; Hou-Jun Tang ; Yong Zhang

Sensor prediction models in ESP system are constructed with support vector machines (SVMs) regression algorithm. Thus SVMs are used as residual generator via analytical redundancy of the sensors. DAGSVM classification algorithm fulfills sensor fault isolation. The research's result shows the application of SVMs to sensor fault diagnosis in ESP system is effective and feasible.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:6 )

Date of Conference:

26-29 Aug. 2004