2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)最新文献_第10页

Low-Cost Cyber-Physical Production Systems for Industrial Control Robots Under IEC 61499 IEC 61499下工业控制机器人的低成本信息物理生产系统

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502540

Carlos A. Garcia, J. Naranjo, T. P. Zambrano, David Lanas, Marcelo V. García

{"title":"Low-Cost Cyber-Physical Production Systems for Industrial Control Robots Under IEC 61499","authors":"Carlos A. Garcia, J. Naranjo, T. P. Zambrano, David Lanas, Marcelo V. García","doi":"10.1109/ETFA.2018.8502540","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502540","url":null,"abstract":"In the current industrial paradigm, the use of traditional and straight-line production systems are being replaced with the objective of generating flexible and modular production process. To achieve this goal, one of the main alternatives used by enterprises is the integration of robotic systems in the production cells. New generation industrial robots are developed to integrate high-performance processing units which can operate under embedded software. This characteristic, indirectly allows robots to be compatible with the concept of Cyber-Physical Production Systems (CPPS), where the high processing and communication capabilities of the devices allows better and faster data exchange among the devices in a distributed system. IEC-61499 provides high-level design capabilities by combining easily software components with independence of the hardware platform used for the generation of CPPSs. This paper discusses an approach of CPPS flexible architecture under IEC-61499 for industrial control of Kuka youBot® robotic arm in industrial welding tasks, using a low-cost device like Raspberry Pi 3B board as industrial controller.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"10 1","pages":"1281-1284"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74735768","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

Industrial Internet for the Factories of the Future 面向未来工厂的工业互联网

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/etfa.2018.8502552

引用次数: 0

Towards Transforming an Industrial Automation System from Monolithic to Microservices 工业自动化系统从单片到微服务的转变

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502567

S. Sarkar, Gloria Vashi, P. Abdulla

引用次数: 12

Comparison of Speed Control of Permanent Magnet Synchronous Motor using PI and Fuzzy Controller PI与模糊控制器对永磁同步电机速度控制的比较

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502638

Ilber Puci, R. Vilanova, C. Ferrer

{"title":"Comparison of Speed Control of Permanent Magnet Synchronous Motor using PI and Fuzzy Controller","authors":"Ilber Puci, R. Vilanova, C. Ferrer","doi":"10.1109/ETFA.2018.8502638","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502638","url":null,"abstract":"The variable frequency has an important usage in industrial applications. Electrical energy produced by Power Stations is normally 50/60 Hz and is not applicable for many domestic and industrial applications. There are some electrical and electromechanical devices, which need variable frequency than the fixed power supply frequency. Permanent Magnet Synchronous Motor is one of the best examples of variable frequency drives. The Permanent Magnet Synchronous Motor is widely used in the low to medium power system due to its characteristics of high efficiency, high torque to inertia ratio, high reliability, and fast dynamic performance. The Permanent Magnet Synchronous Motor and variable frequency drive have the large sum of demand in industrial and power generation applications. The frequency converter is such device, which generates the variable frequency. In this paper, the vector control of Permanent Magnet Synchronous Motor fed by a frequency converter is modelled and simulated by using PI controller and Fuzzy controller, one of the intelligent methods used in electric drives. Waveforms derived from the simulation of the vector control of Permanent Magnet Synchronous Motor fed a frequency converter are examined comparatively for PI and Fuzzy Controllers. Thus, this project strongly recommends the frequency converter for Permanent Magnet Synchronous Motor application using a Fuzzy controller.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"95 1","pages":"566-573"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76850757","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

A Generic Static Analysis Framework for Domain-specific Languages 领域特定语言的通用静态分析框架

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502576

Avijit Mandal, Devina Mohan, R. Jetley, Sreeja Nair, Meenakshi D'Souza

{"title":"A Generic Static Analysis Framework for Domain-specific Languages","authors":"Avijit Mandal, Devina Mohan, R. Jetley, Sreeja Nair, Meenakshi D'Souza","doi":"10.1109/ETFA.2018.8502576","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502576","url":null,"abstract":"Software used to monitor and control operations within an automation system is defined using domain-specific languages. Latent errors in the control code, if left undetected, can lead to unexpected system failures compromising the safety and the security of the automation system. Traditional analysis techniques are insufficient to detect such errors as they do not cater specifically to the underlying domain-specific language. However, given the diversity of different automation domains, there is no standard platform for analysis of these languages. This paper proposes a generic static analysis framework for domain-specific languages used in the automation domain. The analysis approach exhaustively detects runtime errors in control code and ensures compliance to good programming practices. These runtime errors and coding violations are checked against abstract syntax trees and control flow graphs derived from the code. Data Flow Analysis (DFA), Abstract interpretation and pattern-based matching techniques are used to identify domain specific errors and coding violations for control languages.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"1 6 1","pages":"27-34"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76030164","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: 6

Towards a Decentralized State Estimation of P-Time Petri Net Systems P-Time Petri网系统的分散状态估计

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502529

P. Bonhomme

引用次数: 1

Design Pattern for Decomposition or Aggregation of Automation Systems into Hierarchy Levels 将自动化系统分解或聚合为层次结构的设计模式

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502627

Benjamin Brandenbourger, F. Durand

引用次数: 15

Development of a Vision System for TIG Welding - A Work-in-Progress Study TIG焊接视觉系统的开发——正在进行的研究

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502461

R. French, W. Yeadon, G. Kapellmann-Zafra, H. Marin-Reyes

{"title":"Development of a Vision System for TIG Welding - A Work-in-Progress Study","authors":"R. French, W. Yeadon, G. Kapellmann-Zafra, H. Marin-Reyes","doi":"10.1109/ETFA.2018.8502461","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502461","url":null,"abstract":"The development of a Vision System for TIG Welding has the potential to help realize a real time process monitoring system for joining tasks which require automated welding. A key application of this technique is in the Nuclear Industry; where industrial components require several passes (layers of welding) to achieve robust joints. Through monitoring a welding process such as this in real time, material and time waste could be drastically reduced as faults could be instantly identified. A TIG welding arc is a very intense source of both light and heat, making the creation of a vision system for it challenging. Higher currents result in; brighter TIG welding arcs, higher energy input and deeper and wider weld pools. Nuclear industry applications require deep penetration welding but bright TIG welding arcs can overwhelm the intensity of an auxiliary illumination laser reducing the image clarity of an observing camera system. Thus, a balance between a wide weld bead with clear features applicable to deep penetration but without a brightness level which overwhelms that of the laser must be found. This paper is a Work-in-Progress study of a vision system for TIG welding using an automated TIG welding system and a camera with a laser illumination system. Welding was performed using a Miller Dynasty 350 at 100A with a 3B class laser used to illuminate the weld pool.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"10 1","pages":"1193-1196"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86877125","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

Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems 基于增量学习框架的状态监测在机电系统新故障识别中的应用

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502583

J. J. Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, R. Osornio-Ríos, L. Romeral, R. Romero-Troncoso

{"title":"Incremental Learning Framework-based Condition Monitoring for Novelty Fault Identification Applied to Electromechanical Systems","authors":"J. J. Dorantes, Miguel Delgado Prieto, Jesus Adolfo Carino-Corrales, R. Osornio-Ríos, L. Romeral, R. Romero-Troncoso","doi":"10.1109/ETFA.2018.8502583","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502583","url":null,"abstract":"A great deal of investigations are being carried out towards the effective implementation of the 4.0 Industry new paradigm. Indeed, most of the machinery involved in industrial processes are intended to be digitalized aiming to obtain enhanced information to be used for an optimized operation of the whole manufacturing process. In this regard, condition monitoring strategies are being also reconsidered to include improved performances and functionalities. Thus, the contribution of this research work lies in the proposal of an incremental learning framework approach applied to the condition monitoring of electromechanical systems. The proposed strategy is divided in three main steps, first, different available physical magnitudes are characterized through the calculation of a set of statistical-time based features. Second, a modelling of the considered conditions is performed by means of self-organizing maps in order to preserve the topology of the data; and finally, a novelty detection is carried out by a comparison among the quantization error value achieved in the data modelling for each of the considered conditions. The effectiveness of the proposed novelty fault identification condition monitoring methodology is proved by means of the evaluation of a complete experimental database acquired during the continuous working conditions of an electromechanical system.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"12 1","pages":"1359-1364"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85137406","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

An Inspection System for Multi-Label Polymer Classification 多标签聚合物分类检测系统

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2018-09-01 DOI: 10.1109/ETFA.2018.8502474

Tarek Stiebel, Marcel Bosling, A. Steffens, T. Pretz, D. Merhof

引用次数: 6