中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
金属研究所 [2]
沈阳自动化研究所 [1]
采集方式
OAI收割 [3]
内容类型
期刊论文 [3]
发表日期
2018 [2]
2014 [1]
学科主题
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Fault Diagnosis and Location Method for Active Distribution Network Based on Artificial Neural Network
期刊论文
OAI收割
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2018, 卷号: 46, 期号: 9, 页码: 985-996
作者:
Zhang Tong
;
Sun Lanxiang
;
Liu Jianchang
;
Yu Haibin
;
Zhou Xiaoming
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/02/02
Active distribution network (ADN)
fault location analysis
high resistance fault
phase measurement unit (PMU)
Fault Diagnosis and Location Method for Active Distribution Network Based on Artificial Neural Network
期刊论文
OAI收割
Electric Power Components and Systems, 2018, 卷号: 46, 期号: 9, 页码: 985-996
作者:
Zhang T(张彤)
;
Sun LX(孙兰香)
;
Liu JC(刘建昌)
;
Yu HB(于海斌)
;
Zhou, Xiaoming
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/01/13
Active distribution network (ADN)
fault location analysis
high resistance fault
phase measurement unit (PMU)
Enhanced cyclic deformation responses of ultrafine-grained Cu and nanocrystalline Cu-Al alloys
期刊论文
OAI收割
Acta Materialia, 2014, 卷号: 74, 页码: 200-214
X. H. An
;
S. D. Wu
;
Z. G. Wang
;
Z. F. Zhang
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2015/01/14
Ultrafine-grained Cu
Nanocrystalline Cu-Al alloys
Stacking fault
energy
Cyclic softening
Fatigue damage mechanism
severe plastic-deformation
stacking-fault energy
crack growth
resistance
stress-strain response
high-pressure torsion
microstructural evolution
fatigue behavior
mechanical-properties
nanostructured cu
copper