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| 基于人工神经网络和灰度矩阵的泵功图诊断 | |
| 引用本文： | 吴伟,陈国定,何焱.基于人工神经网络和灰度矩阵的泵功图诊断[J].西安石油大学学报(自然科学版),2007,22(3):119-121. |
| 作者姓名： | 吴伟 陈国定 何焱 |
| 作者单位： | 1. 西北工业大学,机电学院,陕西,西安,710072;西安石油大学,机械工程学院,陕西,西安,710065 2. 西北工业大学,机电学院,陕西,西安,710072 3. 西安石油大学,机械工程学院,陕西,西安,710065 |
| 摘 要： | 为了有效利用泵功图技术改善机械有杆采油系统采收率,对抽油泵不同工况所具有的不同泵功图进行图形特征分析,并利用改进算法的神经网络完成泵功图工况诊断.实例诊断结果与实际测试结果吻合,证明改进后的神经网络能够对不同工况的泵功图进行准确有效的特征聚类和模式识别.该方法具有工程应用价值. |
| 关 键 词： | BP神经网络 泵功图 灰度矩阵 故障诊断 模式识别 |
| 文章编号： | 1673-064X（2007）03-0119-03 |
| 修稿时间： | 2006-12-15 |
Fault diagnosis system for pump work indicating diagram based on neural network and gray-level matrix |
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| WU Wei,CHEN Guo-ding,HE Yan.Fault diagnosis system for pump work indicating diagram based on neural network and gray-level matrix[J].Journal of Xian Shiyou University,2007,22(3):119-121. | |
| Authors: | WU Wei CHEN Guo-ding HE Yan |
| Abstract: | In order to effectively utilize pump work indicating diagram for improving the efficiency of mechanical sucker-rod pumping system,the characteristics of the pump work indicating diagrams under different working conditions are analyzed,and the diagnosis of the working conditions of the mechanical sucker-rod pumping system is accomplished by means of the neural network of an improved BP algorithm.So the faults of the mechanical sucker-rod pumping system can be judged according to the characteristics of its pump work indicating diagrams.The diagnosing result of a case is identical to the measured result,which indicates the improved neural network can accurately identify and cluster the characteristics of the pump work indicating diagrams. |
| Keywords: | BP neural network graph of pumpwork gray-level matrix fault diagnosis pattern classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |