کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1756334 | 1522890 | 2007 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of self-organizing competitive neural network in fault diagnosis of suck rod pumping system
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This paper represents a study using Artificial Neural Network (ANN) to solve dynamometer cards auto recognition problem. A self-organizing competitive neural network model is constructed to achieve automatization of fault diagnosis by automatically clustering dynamometer cards. Model is trained and tested using data acquired from Jiangsu oil fields, China. Research results show that self-organizing competitive neural network model has good classification and generalization capabilities, and hence is applicable to the automatic fault diagnosis of suck rod pumping system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 58, Issues 1–2, August 2007, Pages 43–48
Journal: Journal of Petroleum Science and Engineering - Volume 58, Issues 1–2, August 2007, Pages 43–48
نویسندگان
Peng Xu, Shijin Xu, Hongwei Yin,