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Multiple fault diagnosis of down-hole conditions of sucker-rod pumping wells based on freeman chain code and DCA

Petroleum Science 2013年第3期10卷 347-360页

作者： LI Kun GAO Xian-wen YANG Wei-bing DAI Ying-long TIAN Zhong-da College of Information Science and Engineering Northeastern University

It is important to achieve continuous, stable and efficient pumping well operation in actual oilfield operation. Down-hole pumping well working conditions can be monitored in real-time and a reasonable production scheme can be designed when computer diagnosis is used. However, it is difficult to make a comprehensive analysis to supply efficient technical guidance for operation of the pumping well with multiple faults of down-hole conditions, which cannot be effectively dealt with by the common methods. To solve this problem, a method based on designated component analysis （DCA） is used in this paper. freeman chain code is used to represent the down-hole dynamometer card whose important characteristics are extracted to construct a designated mode set. A control chart is used as a basis for fault detection. The upper and lower control lines on the control chart are determined from standard samples in normal working conditions. In an incompletely orthogonal mode, the designated mode set could be divided into some subsets in which the modes are completely orthogonal. The observed data is projected into each designated mode to realize fault detection according to the upper and lower control lines. The examples show that the proposed method can effectively diagnose multiple faults of down-hole conditions.

关键词： Sucker-rod pumping wells multiple faults designated component analysis control chart freeman chain code dynamometer card

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Design and Implementation of a Driver's Eye State Recognition Algorithm Based on PERCLOS

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Chinese Journal of Electronics 2014年第4期23卷 669-672页

作者： PENG Yan DONG Yan CHENG Du School of Management Capital Normal University Beijing Institute of Control Engineering

In order to improve the general detection accuracy of eye state, this paper puts forward an innovative method for judging human eye state based on PERCLOS. After pretreatment of the eye image, Hough transformation is used for ellipse detection and pupil position. The gray projection variance threshold analysis is then used to help make the final detection. freeman chain and the Snake model algorithm are used for the corner detection and precise calculation of the height of an open eye. Thus the PERCLOS value and the eye state can be figured out. The performance of our eye state recognition algorithm is validated by more than 1000 images within product database. The statistics result shows that the fatigue detection accuracy rate can meet the need of usage in complex environment.

关键词： Eye state detection freeman chain code Snake model Hough circle Ellipse detection

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