原创《面向故障诊断供水管网水压监测点优化布置方法》：本论文为您写故障诊断毕业论文范文和职称论文提供相关论文参考文献，可免费下载。
摘 要：為解决供水管网故障诊断中准确率不高、经济性不佳的问题,设计了一个基于改进的果蝇优化算法核极限学习机的供水管网故障诊断模型,经验证该模型具有学习速度快、故障识别率高等优点.以该模型为核心提出了基于果蝇优化算法的供水管网水压监测点优化布置方法.该方法首先利用果蝇优化算法形成多组水压监测点方案,然后用供水管网故障诊断模型计算每种方案的诊断准确率,选择其中诊断准确率最高、经济性最好的方案作为候选最优方案,并以此方案为基础,使用果蝇优化算法不断循环迭代,最终找到故障诊断准确率高且经济性最好的水压监测点布置方案.编制Matlab语言代码对提出供水管网水压监测点优化布置方法进行了编码实现,使用实际管网数据进行了实验,发现提出的供水管网水压监测点优化布置方法是一个有效的水压监测点优化布置方法.
关键词：供水；故障诊断；优化布置；核极限学习机；果蝇优化算法
中图分类号：TU991.33 文献标志码：A文章编号：16744764（2018）02005309
收稿日期：20170417
基金项目：国家自然科学基金（U1501253）
作者简介：李栋（1981）,副教授,博士生,主要从事智慧水务、智能计算研究,Email： ddli1009@126.com.
Received：20170417
Foundation item：National Natural Science Foundation of China （No. U1501253）
Author brief：Li Dong （1981 ）, associate professor, PhD candidate, main research interests：, Email： ddli1009@126.com.Optimal layout method of water pressure monitoring points for
water supply network based on fault diagnosis
Li Dong1, Xue Huifeng1,2, Zhang Wenyu3
（1. School of Automation, Northwestern Polytechnical University, Xi"an 710072, P. R. China；
2. China Academy of Aerospace Systems Science and Engineering, Beijing 100048, P. R. China；
3. School of Economics and Management, Xi’an University of Posts and Telecommunications, Xi"an 710061, P. R. China）
Abstract：To improve the accuracy and economy of fault diagnosis, the layout method of water pressure monitoring points is proposed. Firstly, a fault diagnosis model of water supply network is designed by using Modified Fruit Fly Optimization Algorithm （MFFOA） and Kernel Extreme Learning Machine （KELM）. The experimental results show that the fault diagnosis model has the advantages of fast training speed and high accuracy. Then, based on the Fruit Fly Optimization Algorithm （FFOA） and the fault diagnosis model which is proposed in this paper, a water pressure monitoring point layout method is designed. In the method, firstly a set of water pressure detection points is formed by FFOA. Then, the diagnostic accuracy of each scheme is calculated by the fault diagnosis model and the scheme which the diagnosis accuracy is highest and economy is best is chosen to be the candidate optimal program. After that, FFOA algorithm is used to iterate and find the optimal layout of water pressure monitoring solution which has the best accuracy and best economic performance. Finally, the proposed method which is realized is tested by the actual pipe network data. The results show that the method presented in this paper is an effective method to optimize the water pressure monitoring points. Comparing with other methods, the accuracy and economy of fault diagnosis are improved obviously.
故障诊断论文参考资料：
结论：面向故障诊断供水管网水压监测点优化布置方法为关于对不知道怎么写故障诊断论文范文课题研究的大学硕士、相关本科毕业论文故障诊断仪的使用步骤论文开题报告范文和文献综述及职称论文的作为参考文献资料下载。
