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科研机构
兰州理工大学 [4]
内容类型
会议论文 [2]
期刊论文 [2]
发表日期
2014 [4]
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发表日期:2014
专题:兰州理工大学
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Study on voltage sag area and transient stability in power system with wind farm
会议论文
Shenzhen, China, September 23, 2014 - September 26, 2014
作者:
Wei, Chen
;
Jianpeng, Guo
;
Xiping, Pei
;
Hengjie, Li
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/11/15
Electric load flow
Electric power generation
Electric power system control
Electric power system interconnection
Electric power system stability
Electric power transmission networks
Electric utilities
Power quality
Stability
Wind power
Energy structure adjustments
Grid connected wind farms
Large-scale wind farms
Power system transient stability
Propagation characteristics
Short-circuit fault
Stability in power systems
Voltage sags
Smart active fault tolerant control algorithm based on neural network for structural vibration control
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 卷号: 33, 期号: 13, 页码: 117-122+160
作者:
Lei, Yong-Qin
;
Du, Yong-Feng
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  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Algorithms
Control systems
Fault detection
Fault tolerance
Faulting
Radial basis function networks
Safety engineering
Seismic response
Structural dynamics
Structures (built objects)
Vibration control
Active fault tolerant control
Dynamic characteristics
Engineering structures
Fault tolerant control
Mutual interference
RBF Neural Network
Sensor failure detection
Structural vibration control
Modal analysis of high-order elliptical gears
会议论文
Hangzhou, China, July 26, 2014 - July 27, 2014
作者:
Liu, Yong Ping
;
Yang, Cun
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  |  
浏览/下载:22/0
  |  
提交时间:2020/11/15
Fault detection
Machine design
Machinery
Vibrations (mechanical)
Characteristics analysis
Dynamic characteristics
Elliptic gears
High-order
Machinery fault diagnosis
Mechanical structures
Natural vibration characteristic
Non-circular gears
Weighted KPCA based on fault feature selection and feature information fusion
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 卷号: 33, 期号: 9, 页码: 89-93+121
作者:
Zhang, Heng
;
Zhao, Rong-Zhen
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  |  
浏览/下载:22/0
  |  
提交时间:2020/11/14
Failure analysis
Frequency domain analysis
Information fusion
Machinery
Principal component analysis
Time domain analysis
Corresponding relations
Fault characteristics
Fault feature selections
Feature information
Feature selection methods
Kernel principal component analyses (KPCA)
Sensitive features
Time frequency domain
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