基于改进小波包结合CS-BP的地面驱动螺杆泵故障诊断  

Fault Diagnosis of Ground-driven Screw Pump Based on Improved Wavelet Packet Combined with CS-BP

作　　者：李博文 宋文广[1] 徐加军 张宝[3] LI Bo-wen;SONG Wen-guang;XU Jia-jun;ZHANG Bao(School of Computer Science,Yangtze University,Jingzhou 434023,China;Shengli Oil Production Plant,SINOPEC Shengli Oilfield Branch,Dongying 257000,China;Oil and Gas Engineering Research Institute,Tarim Oilfield Company,China National Petroleum Corporation,Korla 841403,China)

机构地区：[1]长江大学计算机科学学院,荆州434023 [2]中石化胜利油田分公司胜利采油厂,东营257000 [3]中国石油天然气股份有限公司塔里木油田公司油气工程研究院,库尔勒841403

出　　处：《科学技术与工程》2023年第13期5641-5646,共6页Science Technology and Engineering

基　　金：国家科技重大专项(2021DJ1006);湖北省科技示范项目(2019ZYYD016)。

摘　　要：针对目前地面驱动螺杆泵故障诊断存在效率不高、精度不足、损耗资源的问题,提出通过引入功率谱细化的思想改进小波包变换,再结合布谷鸟搜索(cuckoo search,CS)优化反向传播(back propagation,BP)神经网络的诊断方法。首先,通过改进的小波变换对螺杆泵有功功率分解重构得到特征向量;其次,与瞬时流量、进口回压等参数进行归一化处理,作为BP神经网络的输出层信息;再次,使用布谷鸟搜索寻优得到BP神经网络的权值和阈值,建立CS-BP故障诊断模型;最后,应用于螺杆泵不同故障类型的诊断,并通过与目前的主流诊断方法进行诊断效果的分析比较。结果表明,对于螺杆泵不同类型故障诊断的平均精度达到95.6%,对比分析证明了所提方法的可行性与优越性。Aiming at the problems of low efficiency,low precision and resource loss in the fault diagnosis of ground-driven screw pump,a diagnosis method of back propagation(BP)neural network optimized by introducing the idea of power spectrum refinement was proposed to improve wavelet packet transform and cuckoo search(CS).Firstly,the active power of the screw pump was decomposed and reconstructed by the improved wavelet transform to obtain the feature vector.Secondly,it was normalized with the parameters such as instantaneous flow and inlet back pressure as the output layer information of the BP neural network.Thirdly,the weights and thresholds of BP neural network were obtained by CS,and the CS-BP fault diagnosis model was established.Finally,it was applied to the diagnosis of different fault types of screw pump,and the diagnosis effect was analyzed and compared with the current mainstream diagnosis methods.The results show that the average accuracy of fault diagnosis for different types of screw pump is 95.6%,and the feasibility and superiority of the proposed method are proved by comparative analysis.

关 键 词：地面驱动螺杆泵 故障诊断 功率谱 小波包变换 布谷鸟搜索 BP神经网络 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]