2017 13th IEEE Conference on Automation Science and Engineering (CASE)最新文献_第6页

Efficiency analysis of series machines under operation-dependent-failures 运行相关故障下串联机床的效率分析

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256149

Chao-Bo Yan, Qianchuan Zhao

{"title":"Efficiency analysis of series machines under operation-dependent-failures","authors":"Chao-Bo Yan, Qianchuan Zhao","doi":"10.1109/COASE.2017.8256149","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256149","url":null,"abstract":"Series machines, i.e., machines connected in series with no buffering, are pervasive in production systems. In the analysis, design, and optimization of the series-machine system, the efficiency analysis is one of the most fundamental issues. There are not a lot of researches analyzing the efficiency of the series-machine system under the assumption of Operation-Dependent-Failures (ODF) mechanism and almost all of them assumed that machines break down in terms of ODF-I (i.e., the breakdown of a machine could make all other series machines forced down) rather than under ODF-II (i.e., the breakdown of a machine does not make any other series machines forced down). The reason that ODF-I is usually assumed in the literature is that the analysis of the series-machine system under ODF-II is much more complex than under ODF-I, although ODF-II might be more common in practice. To systematically analyze the efficiency of the series-machine system, in this paper, we propose an analytical method to investigate the efficiency under both ODF-I and ODF-II failure mechanisms. Different from under ODF-I, analytical expressions of the efficiency of series-machine systems under ODF-II are hard to obtain and thus, limit bounds of the efficiency are derived and an algorithm is developed to calculate its exact value. Results show that the series-machine system under ODF-II is more efficient than under ODF-I, which, intuitively making sense, is the reason that ODF-II are more common in the industry.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129297328","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

Initial experiment of practical algorithm for precision motion control of human-like tendon-driven joint mechanism 仿人肌腱驱动关节机构精确运动控制实用算法的初步实验

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256311

Hyunhwan Jeong, Bongki Kang, J. Cheong

引用次数: 0

A simulation-based benders' cuts generation for the joint workstation, workload and buffer allocation problem 基于仿真的弯管机切割生成联合工作站、工作量和缓冲区分配问题

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256247

Mengyi Zhang, A. Matta, A. Alfieri, Giulia Pedrielli

引用次数: 6

An automatic system for the avoidance of wrist singularities in anthropomorphic manipulators 拟人机械臂腕部奇点自动避免系统

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256280

C. Bianco, Marina Raineri

引用次数: 7

Physical internet-enabled E-commerce logistics park platform 实体互联网电子商务物流园区平台

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256138

Xiang T. R. Kong, Ming Li, Ying Yu, Zhiheng Zhao, G. Huang

引用次数: 6

Automated design of the field-of-view, illumination, and image pre-processing parameters of an image recognition system 图像识别系统的视场、照明和图像预处理参数的自动设计

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256249

Yibing Chen, T. Ogata, T. Ueyama, Toshiyuki Takada, J. Ota

引用次数: 4

Fast adaptive search on the line in dual environments 双环境下在线快速自适应搜索

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256322

Junqi Zhang, Yuheng Wang, Mengchu Zhou

{"title":"Fast adaptive search on the line in dual environments","authors":"Junqi Zhang, Yuheng Wang, Mengchu Zhou","doi":"10.1109/COASE.2017.8256322","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256322","url":null,"abstract":"A stochastic point location problem considers that a learning mechanism (agent, algorithm, etc.) searches the target point on a one-dimensional domain by operating a controlled random walk after receiving some direction information from a stochastic environment. A method named Adaptive Step Search has been the fastest algorithm so far for solving a stochastic point location problem, which can be applied in Particle Swarm Optimization (PSO), the establishment of epidemic models and many other scenarios. However, its application is theoretically restrained within the range of informative environment in which the probability of an environment providing a correct suggestion is strictly bigger than a half. Namely, it does not work in a deceptive environment where such a probability is less than a half. In this paper, we present a novel promotion to overcome the difficult issue facing Adaptive Step Search, by means of symmetrization and buffer techniques. The new algorithm is able to operate a controlled random walk in both informative and deceptive environments and to converge eventually without performance loss. Finally, experimental results demonstrate that the proposed scheme is efficient and feasible in dual environments.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121450035","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: 2

Model-based reinforcement learning approach for deformable linear object manipulation 基于模型的可变形线性对象处理强化学习方法

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256194

Haifeng Han, G. Paul, Takamitsu Matsubara

引用次数: 24

Transmission capacity margin assessment in power systems with uncertain wind integration 不确定风电并网系统的输电容量裕度评估

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256296

Yafei Yang, Xuejiao Lei, Q. Zhai, Jiang Wu, X. Guan

引用次数: 2

An improved symbiotic organisms search algorithm for low-yield stepper scheduling problem 低产量步进调度问题的改进共生生物搜索算法

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256117

Sikai Gong, Ran Huang, Zhengcai Cao

引用次数: 1