电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2012年
17期
23-25,31
,共4页
BP神经网络%示功图%灰度矩阵%故障诊断%特征提取
BP神經網絡%示功圖%灰度矩陣%故障診斷%特徵提取
BP신경망락%시공도%회도구진%고장진단%특정제취
BP neural network%working drawing%the Grey Theory%fault diagnosis%feature extraction
抽油井故障诊断系统是油井系统产量的关键，为了更好更快地对当前油井系统进行诊断以保证石油的产量，人们利用各种各样的技术来完成这一目标。示功图的诊断法是油田有杆抽油诊断的主要方法，文章根据示功图诊断的特点，提取出灰度矩阵特征向量，运用神经网络对有杆抽油油田典型故障诊断进行建模，最后用实例验证了此方法的正确性。实验证明，本系统不仅可行性好，而且故障识别率高，对增加油井产量有重要意义。
抽油井故障診斷繫統是油井繫統產量的關鍵，為瞭更好更快地對噹前油井繫統進行診斷以保證石油的產量，人們利用各種各樣的技術來完成這一目標。示功圖的診斷法是油田有桿抽油診斷的主要方法，文章根據示功圖診斷的特點，提取齣灰度矩陣特徵嚮量，運用神經網絡對有桿抽油油田典型故障診斷進行建模，最後用實例驗證瞭此方法的正確性。實驗證明，本繫統不僅可行性好，而且故障識彆率高，對增加油井產量有重要意義。
추유정고장진단계통시유정계통산량적관건，위료경호경쾌지대당전유정계통진행진단이보증석유적산량，인문이용각충각양적기술래완성저일목표。시공도적진단법시유전유간추유진단적주요방법，문장근거시공도진단적특점，제취출회도구진특정향량，운용신경망락대유간추유유전전형고장진단진행건모，최후용실례험증료차방법적정학성。실험증명，본계통불부가행성호，이차고장식별솔고，대증가유정산량유중요의의。
Pumping well system fault diagnosis system is the key to production,for better and faster diagnosis of the current well system to ensure the production of oil,people uses a variety of technologies to achieve this goal. Diagnosis of working drawing is a major method in diagnosis of rod pumping oil. Through features of working drawing, we propose grey matrix characteristic vectors of working drawing. The diagnosis modeling is built for rod pumping fault based on the neural network. At last we use experiment to test correctness of this method. Our experiment shows that this system has not only large feasibility, but also a high error recognition rate, which has great importance to increasing of oil production.
