2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES)最新文献

Reference Architecture for a Collaborative Predictive Platform for Smart Maintenance in Manufacturing 制造业智能维护协同预测平台的参考体系结构

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-21 DOI: 10.1109/INES.2018.8523969

Z. Balogh, E. Gatial, J. Barbosa, P. Leitão, T. Matejka

{"title":"Reference Architecture for a Collaborative Predictive Platform for Smart Maintenance in Manufacturing","authors":"Z. Balogh, E. Gatial, J. Barbosa, P. Leitão, T. Matejka","doi":"10.1109/INES.2018.8523969","DOIUrl":"https://doi.org/10.1109/INES.2018.8523969","url":null,"abstract":"Maintenance is a key factor to ensure the production efficiency, since the occurrence of unexpected failures leads to a degradation of the system performance, causing the loss of productivity and business opportunities, which are crucial roles to achieve competitiveness. The article aims to propose a reference architecture which will improve the way maintenance is considered in the current manufacturing world, by enabling an overall increase of production rates, while increasing the operational equipment effectiveness and decreasing the impact of maintenance needs. This objective would be accomplished by establishing an IoT infrastructure for the collection of the huge amount of available shop floor data, which can be analyzed, considering data analytics algorithms, predictive maintenance models and forecasting techniques, to perform the machine/system health assessment and prediction of maintenance needs, e.g. by detecting earlier the occurrence of possible failures and consequently the need to implement maintenance interventions. The scheduling of predictive maintenance needs will be integrated with the existing maintenance planning tools, and especially synchronized with the production planning tools to achieve a nondisruptive maintenance impact in the production system. A cloud-based collaborative maintenance services platform allows the secure collection, aggregation and analysis of a large amount of shared data from numerous manufacturers that use the same or similar machinery, and acts as an open market where companies can contract specialized maintenance services. This reference architecture aims to provide replicable architecture to be broadly applicable in a variety of industries, capable to improve the production efficiency through a real-time health monitoring and early detection of failures and outages, to speed up the maintenance delivery, and consequently mitigate their impact.","PeriodicalId":407565,"journal":{"name":"2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132005768","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: 12

Effect of the Different Membership Function Fitting Methods in Personalized Risk Calculation 不同隶属函数拟合方法对个性化风险计算的影响

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523860

E. Tóth-Laufer, I. Nagy

引用次数: 3

Analysis of Mean Reversal Value of on Axis of Linear Guide Depending on the Load 随载荷变化的直线导轨上轴平均反转值分析

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8524005

J. Dobránsky, T. Stejskal, J. Svetlik

引用次数: 0

Nonlinear Control of a Fan-Coil Operation 风机盘管运行的非线性控制

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523875

Mario López-Alonso, J. D. Álvarez, J. L. Guzmán, M. Berenguel

引用次数: 0

Missile Autopilot Design Using a Robust Asymptotic Tracking Controller 基于鲁棒渐近跟踪控制器的导弹自动驾驶仪设计

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523970

M. G. Skarpetis, F. Koumboulis, X. Loutas

引用次数: 0

Design of Virtual Model of Production Line Using Wonderware ArchestrA 利用Wonderware ArchestrA设计生产线虚拟模型

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523998

A. Vaclavova, M. Kebísek

引用次数: 3

A Graph-Based Sensor Fault Detection and Diagnosis for Demand-Controlled Ventilation Systems Extracted from a Semantic Ontology 基于语义本体的需求控制通风系统传感器故障检测与诊断

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523895

Ahlam Mallak, Christian Weber, M. Fathi, A. Behravan, R. Obermaisser

{"title":"A Graph-Based Sensor Fault Detection and Diagnosis for Demand-Controlled Ventilation Systems Extracted from a Semantic Ontology","authors":"Ahlam Mallak, Christian Weber, M. Fathi, A. Behravan, R. Obermaisser","doi":"10.1109/INES.2018.8523895","DOIUrl":"https://doi.org/10.1109/INES.2018.8523895","url":null,"abstract":"Fault detection and diagnosis in HVAC systems such as demand-controlled ventilation systems, is a crucial step to attain optimal user comfort and energy saving, through providing fast and accurate monitoring, control, and recovery solutions in buildings. This can be accomplished by increasing the number of the utilized sensors and actuators in each zone, which leads to an enormous increase in the complexity of the system, due to the need to capture these components' values and the interactions between them. To overcome the complexity issue, it is important to establish an accurate model of the system, which contains the system components like sensors and actuators, and the relationships between them. However, achieving an accurate model design of the building, its technical components and the relationships between them is rarely available. Especially, the lack of precision in technical measurements, which is needed in model-based diagnostic methods to develop precise thresholds and conditions that are required to make the decisions. In this paper a model was developed to overcome the previous challenges, by the following: 1) creating a simulated model for a building, to extract the missing sensors' thresholds, values and relationships between those sensors. 2) A semantic model represented by the building ontology, to model the relationships between sensors and their containing systems, created based on the diagnostic information provided by the simulated model. And 3) A novel diagnostic directed graph is extracted from the ontology to offer more automation to the diagnosis and lessen the complexity of the system, by providing a clear graph of the decision making process.","PeriodicalId":407565,"journal":{"name":"2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133313158","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: 7

Control and Optimization of Distributed Solar Collector Fields 分布式太阳能集热器场的控制与优化

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523879

R. Klempous, M. Berenguel

引用次数: 0

A Knowledge Transfer Platform for Fault Diagnosis of Industrial Gas Turbines 面向工业燃气轮机故障诊断的知识转移平台

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523864

Y. Zhang, G. Jombo, A. Latimer

引用次数: 8

Modeling of Operative Planning Solution for Transport Management Systems 运输管理系统作业计划解决方案建模

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) Pub Date : 2018-06-01 DOI: 10.1109/INES.2018.8523977

A. Nagy, J. Tick

引用次数: 1