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Research on Problems of Pumping-jack Diagnosis Based on Support Vector Machine

Author: QiYuanJun
Tutor: RenWeiJian
School: Northeast University of Petroleum
Course: Oil \u0026 Gas Information and Control Engineering
Keywords: Support Vector Machine Fault Diagnosis Adaptive kernel Mixtures of Kernels Multi - class classification
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 94
Quote: 0
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Abstract


Support vector machine by means of optimization methods to solve problems in machine learning , solve small sample data sets as well as non-linear problem unique advantages , applies to such a small sample size problem solve the pumping unit failure . This article will support vector machine method is applied to fault diagnosis of oil field pumping units . Concrete to complete the following tasks : to do a detailed analysis and study of commonly used methods and limitations of intelligent fault diagnosis , and delve into a common solution for pumping unit fault this small sample size problem . Support vector classification , multi- class classification problems discussed , the focus of the \Kernel function improved adaptive kernel function using sample data to correct the original kernel function , kernel function , to some extent, improve the accuracy and speed of classification , reducing the number of support vectors ; two mixed kernel function is proposed based on the improved Gaussian kernel function , the kernel function of both the performance of the the single Gauss kernel function and polynomial kernel function , have the double advantage of the kernel function of the overall learning ability and generalization ability . The support vector machine used in oil field pumping units fault diagnosis , and diagnosis results are compared to discuss the impact of the relevant parameters of the diagnostic results .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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