Application of support vector machines to sensor fault diagnosis in ESP system
Shui-Bo Zheng
Zheng-Zhi Han
Hou-Jun Tang
Yong Zhang
Sch. of Electr. & Inf. Eng., Shanghai Jiao Tong Univ., China;
Abstract
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.
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