2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献_第9页

Study on Pressure Change of High- Pressure Tubing based on Gray Wolf Algorithm and Differential Equations 基于灰狼算法和微分方程的高压油管压力变化研究

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337666

C. Ao, Yang Yang, Y. Liuqing, Xuhua Ying

引用次数: 0

Fault Classification Method based on Fast K-Nearest Neighbor with Hybrid Feature Generation and K - Medoids Clustering 基于混合特征生成和K-介质聚类的快速K近邻故障分类方法

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337657

Zhe Zhou, Fanliang Zeng, Jiacheng Huang, Jingjing Zheng, Zuxin Li

{"title":"Fault Classification Method based on Fast K-Nearest Neighbor with Hybrid Feature Generation and K - Medoids Clustering","authors":"Zhe Zhou, Fanliang Zeng, Jiacheng Huang, Jingjing Zheng, Zuxin Li","doi":"10.1109/YAC51587.2020.9337657","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337657","url":null,"abstract":"Fast and accurate classification of the process faults in industry is important for ensuring reliable operation. The traditional K-Nearest Neighbor (KNN) algorithm needs to calculate the distance between the sample to be classified and all the training samples obtained under normal operation condition (NOC). Large computational cost involves in this step when the number of the NOC samples is huge. Aiming at this, existing methods reduce the training samples by using the clustering algorithms, so as to reduce the computational cost of the KNN. However, the reduction of training samples usually leads to a decrease in the accuracy of fault classification. Misclassification directly affects the normal production and safety of the industrial processes. To this end, a fast KNN fault classification method based on hybrid feature generation and K-Medoids is proposed. Firstly, a hybrid feature generation method combining ReliefF algorithm and linear discriminant analysis algorithm is used to select and extract the sample features, thus enhance the separability inter-classes and improve the accuracy of fault classification. Then, K-Medoids clustering algorithm is used to select few representative training samples and reduce the computational complexity of KNN algorithm. Finally, the simulation is performed on the Tennessee- Eastman process, which verifies that the proposed algorithm is superior than other related four methods and only consumes far less running time than the basic KNN algorithm while retaining higher classification accuracy.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975083","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: 0

Optimal Dispatch of Integrated Natural Gas and Electricity Systems with Unit Commitment 具有机组承诺的天然气和电力综合系统优化调度

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337599

Ya'nan Liu, Qian Zhang, Kai Shen, Rui Mei, Longji Feng, Jianxi Wang

引用次数: 1

Design of Intelligent Escort Robot System Based on KCF Tracking Algorithm 基于KCF跟踪算法的智能护送机器人系统设计

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337648

Wangdi Du, Qingyong Zhang, Ziliu Ye

引用次数: 0

Research on Non-magnetic Temperature Control System Applied to Alkali Vapor Cells 碱蒸汽电池非磁性温度控制系统的研究

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337572

Manhua Fu, Jiong Huang, J. Ruan, W. Quan

{"title":"Research on Non-magnetic Temperature Control System Applied to Alkali Vapor Cells","authors":"Manhua Fu, Jiong Huang, J. Ruan, W. Quan","doi":"10.1109/YAC51587.2020.9337572","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337572","url":null,"abstract":"With the development of quantum control technology, atomic gyroscopes based on the Spin Exchange Relaxation Free (SERF) have been expected to be the development trend for the next generation of high-precision gyroscopes. As a crucial parameter of the SERF atomic spin gyroscope, the temperature stability of the alkali vapor cell determines the stability of the gyroscope scale factor. Therefore, high-precision temperature control of the alkali vapor cells is important to achieve an accurate measurement by an atomic gyroscope. Besides, since the atoms in the cell are very sensitive to the low-frequency magnetic field noise, it is necessary to ensure that the low-frequency magnetic field noise is not introduced during the heating process. In order to meet these requirements, a non-magnetic temperature control system of the alkali vapor cells based on the STM32 and Labview is designed in this paper. The proposed system is verified by experiments. The experimental results show that the equivalent interference magnetic field of the proposed system is less than 50 fT/ Hz 1/2, temperature measurement accuracy is 2 mK; and near the operating temperature of 180°C, the temperature stability is ±3 mK.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"79 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891979","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

LSTM-Based False Data Injection Attack Detection in Smart Grids 基于lstm的智能电网虚假数据注入攻击检测

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337674

Yi Zhao, Xian Jia, Dou An, Qingyu Yang

引用次数: 3

Research on Fault Diagnosis of Mine Ventilator Bearing based on Cross Entropy Algorithm 基于交叉熵算法的矿井通风机轴承故障诊断研究

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337697

L. Bian, Hongna Sun, Hui He, Chengyang Liu, Zhongzhi Guan

引用次数: 1

Detecting Time-Delayed Causations in Coal Mill based on Convergent Cross Mapping* 基于收敛交叉映射的煤机时滞原因检测

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337501

Haidong Fan, Yuwei Meng, Dou Wang, Yi Zhao, Chunhui Zhao

{"title":"Detecting Time-Delayed Causations in Coal Mill based on Convergent Cross Mapping*","authors":"Haidong Fan, Yuwei Meng, Dou Wang, Yi Zhao, Chunhui Zhao","doi":"10.1109/YAC51587.2020.9337501","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337501","url":null,"abstract":"Coal mill has many factors influencing the grinding quality, which will eventually affect the combustion performance of the furnace. Therefore, it is necessary to identify the interactions among these process variables, which can be used for many purposes like identifying the disturbances propagation. This paper presents the application using the extended convergent cross mapping technique to exploit time-delayed causal relationships between any two process variables. Hence, all the pairwise results can be collected and summarized in a final causal map, including unidirectional or bidirectional, direct or indirect links in transport chains. The techniques of parameter initialization and indirect causations separated from direct ones are discussed and analyzed. And the application results show various causations with strong, moderate or weak effects. For example, the primary air flowrate and the differential mill pressure have great impacts on most of the rest variables, whereas the coal-air mixture temperature only responds to others, which is consistent with the physical characters as the input and output of the coal mill system.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637368","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: 0

Tracking Control of a Robotic System with Initial Constraint Violation and Actuator Faults 具有初始约束违反和执行器故障的机器人系统跟踪控制

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337569

Yu Zhang, Linghuan Kong, Pengxin Yang, Shuo Yuan, Shuang Zhang

引用次数: 0

China's Urban Eco-Efficiency and its Spatial Relationship with Participatory Governance 中国城市生态效率及其与参与式治理的空间关系

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337707

Weidong Chen, W. Sit

{"title":"China's Urban Eco-Efficiency and its Spatial Relationship with Participatory Governance","authors":"Weidong Chen, W. Sit","doi":"10.1109/YAC51587.2020.9337707","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337707","url":null,"abstract":"This paper uses the SBM-Undesirable model to measure the urban eco-efficiency in China and analyzes the trends from the view of resource-based and non-resource-based cities. Through the panel data of 273 prefecture-level cities in China, the spatial and Durbin model is used to deeply explore the influencing factors of urban eco-efficiency from the perspective of participatory governance. The results show that urban eco-efficiency has strong spatial differentiation and spatial correlation. The eco-efficiency of non-resource-based and renewable cities is more efficient while declining cities need to be improved. There is a trend that high-efficiency areas drive the progress of low-efficiency areas. Furthermore, participatory governance can significantly improve the urban eco-efficiency, in which cooperative motivation, government innovation ability, and citizen participation quality have a positive impact on urban eco-efficiency, while government over-intervention inhibits the growth of efficiency. The research clarifies the relationship between participatory governance and urban eco-efficiency, and its conclusion provides an important reference for China's ecological construction and sustainable urban development.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122120714","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