2021 IEEE 19th International Conference on Industrial Informatics (INDIN)最新文献_第8页

Model-checking infinite-state nuclear safety I&C systems with nuXmv 用nuXmv对无限状态核安全I&C系统进行模型校核

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557445

A. Pakonen

引用次数: 2

Hierarchical Reinforcement Learning for Waypoint-based Exploration in Robotic Devices 基于路径点的机器人设备探索的分层强化学习

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557406

J. Zinn, B. Vogel‐Heuser, Fabian Schuhmann, Luis Alberto Cruz Salazar

引用次数: 1

The 5G Transparent Clock: Synchronization Errors in Integrated 5G-TSN Industrial Networks 5G透明时钟:集成5G- tsn工业网络中的同步误差

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557468

Tobias Striffler, H. Schotten

引用次数: 7

Object Shape Error Correction using Deep Reinforcement Learning for Multi-Station Assembly Systems 基于深度强化学习的多工位装配系统物体形状误差校正

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557359

S. Sinha, P. Franciosa, D. Ceglarek

{"title":"Object Shape Error Correction using Deep Reinforcement Learning for Multi-Station Assembly Systems","authors":"S. Sinha, P. Franciosa, D. Ceglarek","doi":"10.1109/INDIN45523.2021.9557359","DOIUrl":"https://doi.org/10.1109/INDIN45523.2021.9557359","url":null,"abstract":"The paper proposes a novel approach, Object Shape Error Correction (OSEC), to determine corrective action in order to mitigate root cause(s) (RCs) of dimensional and geometric product shape errors. It leverages Deep Deterministic Policy Gradient (DDPG) algorithm to learn optimal process parameters update policies based on high dimensional state estimates of multi-station assembly systems (MAS). These policies can be interpreted in engineering terms as sequential corrective adjustments of process parameters that are necessary to mitigate RCs of product shape errors. The approach has the capability to estimate adjustments of process parameters related to fixturing and joining while simultaneously accounting for (i) RC uncertainty estimation, (ii) Key Performance Indicator (KPI) improvement, (iii) MAS design architecture; and, (iv) MAS inherent stochasticity. In addition, the OSEC methodology leverages a reward function parameterized by user interpretable functional coefficients for optimal tradeoff involving various corrections requirements. Benchmarking using an industrial, automotive cross-member assembly system demonstrates a 40% increase in the effectiveness of corrective actions when compared to current approaches.","PeriodicalId":370921,"journal":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128622587","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

Blockchain application in simulated environment for Cyber-Physical Systems Security 区块链在网络物理系统安全模拟环境中的应用

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557446

Riccardo Colelli, Chiara Foglietta, Roberto Fusacchia, S. Panzieri, F. Pascucci

{"title":"Blockchain application in simulated environment for Cyber-Physical Systems Security","authors":"Riccardo Colelli, Chiara Foglietta, Roberto Fusacchia, S. Panzieri, F. Pascucci","doi":"10.1109/INDIN45523.2021.9557446","DOIUrl":"https://doi.org/10.1109/INDIN45523.2021.9557446","url":null,"abstract":"Critical Infrastructures (CIs) such as power grid, water and gas distribution are controlled by Industrial Control Systems (ICS). Sensors and actuators of a physical plant are managed by the ICS. Data and commands transmitted over the network from the Programmable Logic Controllers (PLCs) are saved and parsed within the Historian. Generally, this architecture guarantees to check for any process anomalies that may occur due to component failures and cyber attacks. The other use of this data allows activities such as forensic analysis. To secure the network is also crucial to protect the communication between devices. A cyber attack on the log devices could jeopardize any forensic analysis be it for maintenance, or discovering an attack trail. In this paper is proposed a strategy to secure plant operational data recorded in the Historian and data exchange in the network. An integrity checking mechanism, in combination with blockchain, is used to ensure data integrity. Data redundancy is achieved by applying an efficient replication mechanism and enables data recovery after an attack.","PeriodicalId":370921,"journal":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129674933","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

Remote E-Learning for Cyber-Physical Production Systems in Higher Education 高等教育中网络物理生产系统的远程电子学习

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557429

Ricardo Silva Peres, José Barata

{"title":"Remote E-Learning for Cyber-Physical Production Systems in Higher Education","authors":"Ricardo Silva Peres, José Barata","doi":"10.1109/INDIN45523.2021.9557429","DOIUrl":"https://doi.org/10.1109/INDIN45523.2021.9557429","url":null,"abstract":"The advent of Industry 4.0 has made it crucial to improve the accessibility of higher education and to ensure that the future generation of engineers is able to acquire interdisciplinary competences to face the challenges of the data-driven era, including hands-on experience with real scenarios. We present an approach for teaching Cyber-Physical Production Systems remotely to graduate students, along with a discussion of sample projects, recommendations and the lessons learned in the effort to break down geographical barriers to education, reduce the cost associated with material and mitigate the impact of unforeseen disruptions such as the one caused by the pandemic scenario of COVID-19 in 2020. A combination of physical learning factory demonstrators, digital twin and simulation scenarios was developed to provide students with the resources to remotely implement an end-to-end Cyber-Physical Production System, along with its integration with other key technologies of Industry 4.0. A case study at the NOVA University of Lisbon showed that average attendance improved by 26.6%, retention in lab component improved by 12.9% and lab grades improved on average by 7.33% compared to on-site iterations of the same course in the two previous years.","PeriodicalId":370921,"journal":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909086","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

An Ensemble Approach for Fault Diagnosis via Continuous Learning 基于持续学习的集成故障诊断方法

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557388

Dapeng Zhang, Zhiwei Gao

引用次数: 2

Multifractal Spectrum and Higher Order Statistics for the Detection of Field Winding Faults in Wound Field Synchronous Motors 多重分形谱和高阶统计量在绕线同步电机绕组故障检测中的应用

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557485

M. E. I. Martínez, J. Antonino-Daviu, C. Platero, L. Dunai, J. Conejero, P. F. Córdoba

引用次数: 3

Towards Policy-based Task Self-Reallocation in Dynamic Edge Computing Systems 动态边缘计算系统中基于策略的任务自分配研究

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557374

Victor Pazmino Betancourt, Bo Liu, Jürgen Becker

{"title":"Towards Policy-based Task Self-Reallocation in Dynamic Edge Computing Systems","authors":"Victor Pazmino Betancourt, Bo Liu, Jürgen Becker","doi":"10.1109/INDIN45523.2021.9557374","DOIUrl":"https://doi.org/10.1109/INDIN45523.2021.9557374","url":null,"abstract":"Innovations and novel applications in the area of the Industrial Internet of Things (IIoT) are driven by the technical possibilities of digitalization and edge computing. This leads to rapid advancements and enormous time pressure in the development and operation of new functionalities. Edge computing systems with self-x functionalities are able to react independently to changes in operation and thus mitigate this time pressure problem. The autonomous response during the operation of the self-x system must nevertheless remain compliant with the original system design requirements. A distributed edge computing system has complex requirements in different components and at different levels of the system. This leads to a major challenge when describing these requirements and constraints in such a way that they can be automatically checked and fulfilled during operation. This paper proposes a model-based description of policies that is used as a basis for reallocation of services during operation. The approach was tested and evaluated using an IIoT use case of a camera-based monitoring system for smart construction sites. Our results show that, based on the policy description, it is possible to automatically compute the reallocation when changes occur in the system, without any intervention from the developer. With this self-x capability, the system can remain in operation longer. Overall, this helps to reduce time pressure in the development, deployment and maintenance of new innovations and applications in the field of the Industrial Internet of Things.","PeriodicalId":370921,"journal":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114788051","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

Explainable Machine Learning for Improving Logistic Regression Models 改进逻辑回归模型的可解释机器学习

2021 IEEE 19th International Conference on Industrial Informatics (INDIN) Pub Date : 2021-07-21 DOI: 10.1109/INDIN45523.2021.9557392

Yimin Yang, Min Wu

引用次数: 3