2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)最新文献_第4页

Reliability analysis and calculation of large caliber naval gun recoil process based on GO methodology and multi-state combination 基于GO方法和多状态组合的大口径舰炮后坐过程可靠性分析与计算

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00033

Xiaojun Zhang, Z. Yao, Lin Zhang, Hongzhen Song, Kai Hui

{"title":"Reliability analysis and calculation of large caliber naval gun recoil process based on GO methodology and multi-state combination","authors":"Xiaojun Zhang, Z. Yao, Lin Zhang, Hongzhen Song, Kai Hui","doi":"10.1109/AIAM54119.2021.00033","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00033","url":null,"abstract":"This This article summarizes the launch mission process of the most advanced large-caliber naval gun in service at this stage, and gives the specific launch mission principle process. Focus on the analysis of the reliability of the rear seat process involving the improved variable resistance parking machine. At the same time, the traditional two-state theory is expanded to provide support for later research on maintenance strategies. The method of combining GO methodology and multi-state theory analyzes the reliability of large-caliber naval guns. First, analyze the principle of the improved variable-resistance parking machine, and establish the GO model of the improved variable-resistance parking machine corresponding to the components of the system and GO operators. Secondly, the GO operation is performed and the corresponding parameter values are substituted into the operator operation rules. At the same time, the technical indicators of continuous firing rate of large-caliber naval guns were verified to show their reliability. Finally, the state transition relationship of the maintenance process is given, which provides a theoretical basis for the formulation of maintenance strategies.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128822585","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

The effect of constrained resources on a synchronous TASEP model 约束资源对同步TASEP模型的影响

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00026

Lin Qi, S. Xiao, Xiaoling Cui

引用次数: 0

SBDNN: Straw Burning Detection Based on Improved Faster RCNN Neural Network SBDNN:基于改进的更快RCNN神经网络的秸秆焚烧检测

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00007

Xiong Wei, Le Ma, Li Li

引用次数: 0

Using Systematic Clustering to Improve Innovation and Enterprise Curriculum Keyword Selection in Search Engine Optimization 利用系统聚类改进搜索引擎优化中的创新与企业课程关键词选择

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00103

Zhixin Liu, Yaming Zheng, Dongliang Wang, Jiayi Chen, Jiawei Tian, Qilong Gong

引用次数: 0

Optimal Configuration of Positioning Device Based on Single-End and Double-End Fusion Positioning 基于单端和双端融合定位的定位装置优化配置

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00127

Yukun Chen, Chao Zhuo, Xiangjun Zeng, Yifan Xiong, Feng Liu, Kun Yu

{"title":"Optimal Configuration of Positioning Device Based on Single-End and Double-End Fusion Positioning","authors":"Yukun Chen, Chao Zhuo, Xiangjun Zeng, Yifan Xiong, Feng Liu, Kun Yu","doi":"10.1109/AIAM54119.2021.00127","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00127","url":null,"abstract":"For areas with low degree of automation, traveling wave location devices are added to improve the reliability of power supply. Considering the high cost of traveling wave location devices, this paper proposes an optimal configuration method of fault traveling wave location device based on single and double fusion location. First, the distribution network is layered by using graph theory knowledge to obtain a complete T-shaped branch structure. Through the analysis of different T-band branch structures by the method of single-end and double-end fusion positioning, the principle of device layout optimization is obtained, and then the device optimization configuration of the whole distribution network is carried out. Finally, the process of single-end and double-end fusion positioning of the distribution network after device optimization configuration is analyzed. Directly adopting a two-terminal location method based on line mode components for a line provided with a traveling wave location device, and firstly carrying out a priori test on the line without the traveling wave location device to obtain a fitting curve of zero line mode time difference and fault distance,Then the location distance is calculated by combining multi-point devices and the accurate location result is obtained by averaging. Finally, the feasibility of this scheme is verified by PSCAD simulation analysis, which can not only reduce the number of traveling wave location devices installed in the network and save investment, but also ensure the reliability of fault location in the whole distribution network.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810966","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

Research on the Intelligent Monitoring System and the Prediction Model of the Stray Current in Rail Traffic 轨道交通杂散电流智能监测系统及预测模型研究

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00111

Jiangwen Tang, J. Tang, Li Jiang, Liang Xue, Yuanhui Peng, Kaiqiang Xie

{"title":"Research on the Intelligent Monitoring System and the Prediction Model of the Stray Current in Rail Traffic","authors":"Jiangwen Tang, J. Tang, Li Jiang, Liang Xue, Yuanhui Peng, Kaiqiang Xie","doi":"10.1109/AIAM54119.2021.00111","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00111","url":null,"abstract":"Stray current corrosion is a gradual process which accumulates over a long period of time, and its hazards are gradually shown. However, the stray current protection is a hidden project, so it is often ignored in the engineering construction. The stray current corrosion objects are generally the important metal structures, such as station structure, tunnel structure, water pipes or firefighting pipes of metallic structure, etc. Once these metal structures are corroded, it will not only cause the potential safety hazards, but also makes the large-scale repair or replacement difficult. Therefore, the protection of stray current should be attached importance to by all parties, especially civil design and construction units. This paper first analyzed and summarized the production mechanism and the electrical principle of the stray current in rail traffic. Based on this, this paper proposed a new monitoring current and offers the calculation model of the real-time transition resistance. In addition, this paper also put forward a test method for the stray current and constructed the online intelligent monitoring system. Finally, XGBoost method was used for conduct the model research and verification, which solved the key technical problems about the intelligent detection and monitoring of the stray current in rail traffic.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674931","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

Design of A Differential Wheeled Trolley Based on ROS Robot Operating System 基于ROS机器人操作系统的差动轮式小车设计

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00076

Siqi Wang

引用次数: 0

Direct Generation of Tool Axis Vector for Multi-axis NC Machining of Mesh Surface 网格曲面多轴数控加工中刀具轴矢量的直接生成

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00029

Hao Wen, Weiquan Zou, Ying-jie Liu

{"title":"Direct Generation of Tool Axis Vector for Multi-axis NC Machining of Mesh Surface","authors":"Hao Wen, Weiquan Zou, Ying-jie Liu","doi":"10.1109/AIAM54119.2021.00029","DOIUrl":"https://doi.org/10.1109/AIAM54119.2021.00029","url":null,"abstract":"In many industrial fields, the triangular mesh had replaced the original CAD models for their simplicity and efficiency. The mesh surfaces have been widely used in the direct machining for the industrial needs. Compared with the general machining methods, the multi-axis machining can achieve the better curved surface processing effect. However, the tool axis vector cannot be accurately obtained from the mesh surface, and the multi-axis NC machining cannot be implemented directly and effectively. Base on the method that the tool axis vector perpendicular to the part, this paper proposes use the normal vector of the facet to approximatively substitute the tool axis vector and achieve the multi-axis NC machining of the mesh surface. To obtain the normal vector of the facet, the operations include facet data acquisition, regenerated triangles area calculation, selected facet judgement and extract the normal vector are introduced. And the proposed method is verified by computer programming and running in IDEL. This method will be benefit of the multi-axis NC machining of the mesh surface and solve the problem of tool axis vector generation.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123143518","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

Interactive Attention Graph Convolution Networks for Aspect-level Sentiment Classification 面向方面级情感分类的交互式注意图卷积网络

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/AIAM54119.2021.00062

Huiyu Han, Xiaoya Qin, Qitao Zhao

引用次数: 1

Proceedings 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture AIAM 2021 第三届人工智能与先进制造国际会议论文集

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) Pub Date : 2021-10-01 DOI: 10.1109/aiam54119.2021.00002

引用次数: 0