2009 IEEE International Conference on Automation Science and Engineering最新文献_第7页

Impact of zones on throughput and cycle times in warehouses with Autonomous Vehicles 区域对自动驾驶汽车仓库吞吐量和周期时间的影响

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234102

D. Roy, A. Krishnamurthy, S. Heragu, C. Malmborg

引用次数: 9

Proactive remote healthcare based on multimedia and home automation services 基于多媒体和家庭自动化服务的主动远程医疗保健

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234166

T.B.T. Truong, Florent de Lamotte, J. Diguet

引用次数: 16

Stability considerations and service level measures in production — inventory systems: a simulation study 生产-库存系统中的稳定性考虑和服务水平度量:模拟研究

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234144

D. Bijulal, J. Venkateswaran, N. Hemachandra

引用次数: 2

Sustaining manufacturing assets through smarter utilization of information and communication technologies 通过更智能地利用信息和通信技术来维持制造资产

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234087

V. Srinivasan

引用次数: 4

A control oriented model of generalized warehouses based on Colored Timed Petri Nets 基于有色定时Petri网的面向控制的广义仓库模型

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234109

F. Basile, P. Chiacchio, Domenico Del Grosso

引用次数: 0

Performance evaluation of wireless networks for factory automation applications 工厂自动化应用的无线网络性能评估

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234126

D. Anand, J. Moyne, D. Tilbury

引用次数: 18

Development of an airline traffic forecasting model on international sectors 国际航段航空流量预测模型的建立

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234138

S. Srinidhi

{"title":"Development of an airline traffic forecasting model on international sectors","authors":"S. Srinidhi","doi":"10.1109/COASE.2009.5234138","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234138","url":null,"abstract":"Near-perfect competition scenario has gifted concerns to any industry in terms of demand splits amongst service providers. This is even more consequential in the airline industry where superior service levels rule the day. That player who gets maximum mappings from the set of his(airline) offerings to the set of customer preferences drives the demand. The economic reforms of 1991 followed by the deregulation of Indian skies has witnessed exponential growth of the airline industry and has resulted in near-perfect competition. This is more so in the International sectors, where once (only)domestic carriers, have commenced across border operations. Hence, demand for the service assumes prime importance and airlines have to be aware of their demand on respective sectors prior to operations. In the above context, this paper discusses a methodology to develop a passenger traffic forecasting model for airlines operating on international sectors from India. The model is a fusion of the gravity model in physics and micro-economic theoretic model linking demand to price. This research provides a comprehensive picture of the factors affecting airline demand, especially, factors outside service that could play an important role in demand growth. The model will be tested on data provided by Air India, the national carrier chosen for the purpose of the study. The model, though applied to Air India would have general applicability.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863574","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: 5

Fault diagnosis and failure prognosis for engineering systems: A global perspective 工程系统的故障诊断和故障预测:一个全局视角

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234094

C. Ly, K. Tom, C. Byington, R. Patrick, G. Vachtsevanos

{"title":"Fault diagnosis and failure prognosis for engineering systems: A global perspective","authors":"C. Ly, K. Tom, C. Byington, R. Patrick, G. Vachtsevanos","doi":"10.1109/COASE.2009.5234094","DOIUrl":"https://doi.org/10.1109/COASE.2009.5234094","url":null,"abstract":"Engineering systems, such as aircraft, industrial processes, manufacturing systems, transportation systems, electrical and electronic systems, etc., are becoming more complex and are subjected to failure modes that impact adversely their reliability, availability, safety and maintainability. Such critical assets are required to be available when needed, and maintained on the basis of their current condition rather than on the basis of scheduled or breakdown maintenance practices. Moreover, on-line, real-time fault diagnosis and prognosis can assist the operator to avoid catastrophic events. Recent advances in Condition-Based Maintenance and Prognostics and Health Management (CBM/PHM) have prompted the development of new and innovative algorithms for fault, or incipient failure, diagnosis and failure prognosis aimed at improving the performance of critical systems. This paper introduces an integrated systemsbased framework (architecture) for diagnosis and prognosis that is generic and applicable to a variety of engineering systems. The enabling technologies are based on suitable health monitoring hardware and software, data processing methods that focus on extracting features or condition indicators from raw data via data mining and sensor fusion tools, accurate diagnostic and prognostic algorithms that borrow from Bayesian estimation theory, and specifically particle filtering, fatigue or degradation modeling, and real-time measurements to declare a fault with prescribed confidence and given false alarm rate while predicting accurately and precisely the remaining useful life of the failing component/system. Potential benefits to industry include reduced maintenance costs, improved equipment uptime and safety. The approach is illustrated with examples from the aircraft and industrial domains.","PeriodicalId":386046,"journal":{"name":"2009 IEEE International Conference on Automation Science and Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133125105","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: 47

Dynamic priority allocation for conflict free coordinated manipulation of multiple agents 多agent无冲突协调操作的动态优先级分配

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234186

S. Chiddarwar, N. Babu

引用次数: 10

Assessement of current health of hard disk drives 评估硬盘驱动器的当前运行状况

2009 IEEE International Conference on Automation Science and Engineering Pub Date : 2009-08-22 DOI: 10.1109/COASE.2009.5234105

S. Kamarthi, A. Zeid, Y. Bagul

引用次数: 8