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科研机构
北京航空航天大学 [4]
内容类型
会议论文 [3]
期刊论文 [1]
发表日期
2019 [4]
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发表日期:2019
专题:北京航空航天大学
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Condition Monitoring for Wind Turbine Pitch System Using Multi-parameter Health Indicator
会议论文
2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06
作者:
Yang, C.
;
Qian, Z.
;
Pei, Y.
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Alarm systems
Cost reduction
Data acquisition
Decision trees
Failure analysis
Health
Maintenance
Wind power
Wind turbines
Condition based maintenance
Health indicators
Maintenance strategies
Operation and maintenance
pitch system
Random forests
Regression-based model
Supervisory control and data acquisition
Condition monitoring
Wind Turbine Condition Monitoring Using SCADA Data and Data Mining Method
会议论文
2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06
作者:
Pei, Y.
;
Qian, Z.
;
Tao, S.
;
Yu, H.
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Anomaly detection
Condition monitoring
Cost reduction
Data handling
Feature extraction
Outages
Statistics
Wind power
Wind turbines
Automatic relevance determination
Data mining algorithm
Data mining methods
Feature vectors
Operation conditions
Operation maintenance
Outlier detection algorithm
Wind turbine reliabilities
Data mining
Optimal Look-ahead Control of CSPS System by Deep Q-Network and Profit Sharing
会议论文
Proceedings 2018 Chinese Automation Congress, CAC 2018, 2018-11-30
作者:
Cheng, J.
;
Wang, T.
;
Dai, P.
;
Yang, Y.
;
Ren, L.
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/30
Cost reduction
Learning algorithms
Learning systems
Profitability
Stability criteria
Wages
Convergence results
Evaluation criteria
Intelligent Algorithms
Learning efficiency
Learning process
Look-ahead control
Processing rates
Profit sharing
Numerical control systems
A general non-parametric active learning framework for classification on multiple manifolds
期刊论文
Pattern Recognition Letters, 2019
作者:
Huang, L.
;
Ma, Y.
;
Liu, X.
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Artificial intelligence
Classifiers
Cost reduction
Iterative methods
Learning algorithms
Learning systems
Active Learning
Active-learning algorithm
Global uncertainty
Label propagation
Multi-class classification
Non-parametric
Real-world datasets
Unlabeled samples
Classification (of information)
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