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Disturbance Extraction for Burst Detection in Water Distribution Networks Using Pressure Measurements 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Xu, Weirong;  Zhou, Xiao;  Xin, Kunlun;  Boxall, Joby;  Yan, Hexiang;  Tao, Tao
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/13
Burst detection  Data-driven method  Disturbance extraction  Isolation forest  Water distribution network  Water loss  
The gut microbiome in atherosclerotic cardiovascular disease 期刊论文
NATURE COMMUNICATIONS, 2017, 8
作者:  Jie, Zhuye;  Xia, Huihua;  Zhong, Shi-Long;  Feng, Qiang;  Li, Shenghui;  Liang, Suisha;  Zhong, Huanzi;  Liu, Zhipeng;  Gao, Yuan;  Zhao, Hui;  Zhang, Dongya;  Su, Zheng;  Fang, Zhiwei;  Lan, Zhou;  Li, Junhua;  Xiao, Liang;  Li, Jun;  Li, Ruijun;  Li, Xiaoping;  Li, Fei;  Ren, Huahui;  Huang, Yan;  Peng, Yangqing;  Li, Guanglei;  Wen, Bo;  Dong, Bo;  Chen, Ji-Yan;  Geng, Qing-Shan;  Zhang, Zhi-Wei;  Yang, Huanming;  Wang, Jian;  Wang, Jun;  Zhang, Xuan;  Madsen, Lise;  Brix, Susanne;  Ning, Guang;  Xu, Xun;  Liu, Xin;  Hou, Yong;  Jia, Huijue;  He, Kunlun;  Kristiansen, Karsten
收藏  |  浏览/下载：15/0  |  提交时间：2019/11/27
Self-Adaptive Calibration of Real-Time Demand and Roughness of Water Distribution Systems 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (8) : 5536-5550
作者:  Zhou, Xiao;  Xu, Weirong;  Xin, Kunlun;  Yan, Hexiang;  Tao, Tao
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
data assimilation  water distribution system  nodal demand  pipe roughness  Kalman filter