2013 Fourth Global Congress on Intelligent Systems最新文献_第4页

Using SCADA Data Fusion by Swarm Intelligence for Wind Turbine Condition Monitoring 基于群智能的SCADA数据融合风电机组状态监测

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.40

Xiang Ye, Li-hui Zhou

{"title":"Using SCADA Data Fusion by Swarm Intelligence for Wind Turbine Condition Monitoring","authors":"Xiang Ye, Li-hui Zhou","doi":"10.1109/GCIS.2013.40","DOIUrl":"https://doi.org/10.1109/GCIS.2013.40","url":null,"abstract":"High operations and maintenance costs for wind turbines reduce their overall cost effectiveness. One of the biggest drivers of maintenance cost is unscheduled maintenance due to unexpected failures. Continuous monitoring of wind turbine health using automated failure detection algorithms can improve turbine reliability and reduce maintenance costs by detecting failures before they reach a catastrophic stage and by eliminating unnecessary scheduled maintenance. A SCADA-based condition monitoring system uses data already collected at the wind turbine controller. It is a cost-effective way to monitor wind turbines for early warning of failures and performance issues. In this paper, we develop three tests on power curve, rotor speed curve and pitch angle curve of individual turbine. To monitor the turbine performance better in daily base, it is critical to recognize different patterns of turbine health condition by fusing all the test results. We apply particle swarm optimization algorithm to determine the fusion rules more objectively and optimally. This novel approach gains a qualitative understanding of turbine health condition to detect faults at an early stage, and also provides explanations on what has happened for detailed diagnostics.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123887538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Use of Semantic Co-relation in Target Audience Profiling 语义关联在目标受众分析中的应用

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.44

S. L. Lo, Dong Mei Shan, Viridis Liew

引用次数: 1

Image Encode Method Based on IFS with Probabilities Applying in Image Retrieval 基于概率IFS的图像编码方法在图像检索中的应用

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.53

Haipeng Li, F. Li

引用次数: 2

Pattern Classification Based on Neural Network Ensembles with Regularized Negative Correlation Learning 基于正则化负相关学习的神经网络集成模式分类

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.24

Xiaoyang Fu, Shuqing Zhang

引用次数: 2

Mining Positive and Negative Association Rules in Data Streams with a Sliding Window 利用滑动窗口挖掘数据流中的正、负关联规则

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.39

Weimin Ouyang

引用次数: 6

Generating Statistic Application Signatures for Inference of Unknown Applications 生成用于未知应用推断的统计应用签名

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.45

Jianlin Luo, Shunzheng Yu

引用次数: 0

Identification and Reduction of F-Recursive Genetic Information f递归遗传信息的识别与约简

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.42

Yuying Li, Huannli Zhang, Kaiquan Shi, Weirong Chen

引用次数: 1

Simulation for Land Use Dynamic Change of Dian-Chi Lake Watershed Using Agent-Based Modeling 基于agent的滇池流域土地利用动态变化模拟

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.13

Quanli Xu, Kun Yang, Jun-hua Yi, G. Wang

{"title":"Simulation for Land Use Dynamic Change of Dian-Chi Lake Watershed Using Agent-Based Modeling","authors":"Quanli Xu, Kun Yang, Jun-hua Yi, G. Wang","doi":"10.1109/GCIS.2013.13","DOIUrl":"https://doi.org/10.1109/GCIS.2013.13","url":null,"abstract":"The land use structure and biological service function of Dian-chi lake watershed are being changed by the rapid development of social economy and urbanization, which finally leads to the generation and aggravation of agriculture and urban non-point source pollution in whole basin. Thereby, it is necessary to study the relationship and spatiotemporal process between human activities and land use/cover change (LUCC) of watershed, which is hopeful to offer the scientific decision support for reasonable land planning and land use. Through being combined with GIS technologies of spatial analysis and using the artificial intelligence algorithm called Ant Colony Optimization(ACO) for optimizing, this paper has applied the method of Agent-based modeling to establish the spatiotemporal process model of LUCC in order to simulating the dynamic change of land use in whole watershed. Generally, what has been explored is as fellows. Firstly, make a choice and evaluation for impact factors of land dynamic use, and then create the classes of Agents and their rules in LUCC process. Based on the Java language and Repast platform of modeling, the program design, implementation and simulation of model are given in detail. And finally, the validation for model and analysis for the simulating results are also discussed clearly. We could infer three conclusions from the results of experience. Ant colony algorithm is effective to promote the science express for moving and decision of agents, and the simulating results have better accuracy in both mathematics and geometry than no using it. And the highest accuracy reaches 78.6% in numbers and 68.5% in shape similarity.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115555046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Pedestrian Detection and Tracking System Based on Video Processing Technology 基于视频处理技术的行人检测与跟踪系统

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.17

Yuanyuan Chen, Shuqin Guo, Biaobiao Zhang, Ke-Lin Du

引用次数: 13

Improving Korean LVCSR with Long-Time Temporal Patterns and an Extended Phoneme Set 用长时模式和扩展音位集改进朝鲜语LVCSR

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI: 10.1109/GCIS.2013.60

Ji Xu, Zhen Zhang, Qingqing Zhang, Jielin Pan, Yonghong Yan

引用次数: 1