2023 IEEE 21st International Conference on Industrial Informatics (INDIN)最新文献_第5页

Secure Real-Time Industrial IoT Communications in Smart Grids Using Named Data Networking 使用命名数据网络在智能电网中保护实时工业物联网通信

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218179

Henry Hui, J. Grant, K. Mclaughlin, D. Laverty, S. Sezer

引用次数: 0

Managing Technical Debt in Automation: Best Practices and Cross-Life-Cycle Strategies 管理自动化中的技术债务:最佳实践和跨生命周期策略

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218034

Fandi Bi, Birgit Vogel-Heuser, Ziyi Huang, K. Land, Felix Ocker

{"title":"Managing Technical Debt in Automation: Best Practices and Cross-Life-Cycle Strategies","authors":"Fandi Bi, Birgit Vogel-Heuser, Ziyi Huang, K. Land, Felix Ocker","doi":"10.1109/INDIN51400.2023.10218034","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218034","url":null,"abstract":"Technical decisions that offer short-term gains but result in long-term disturbances and costs are often made due to the insufficient appreciation or underestimation of their scope, impact, and remedial actions. Technical Debt (TD) is a metaphor that embodies such phenomena and poses a particularly harmful threat when interdisciplinary teams interact and collaborate. The study presents new methods analyzing cross-company TD characteristics and positive TD best practice use cases gathered from 47 semi-structured expert interviews in the industrial automation domain. The three most important life cycle phases, the requirement, design, and testing phases, are addressed. The analysis demonstrates that, like adverse TD incidents, cross-life-cycle ripple effects can be advantageous or disadvantageous to the system. By implementing one measure, the system can benefit in multiple life-cycle phases and even disciplines. Additionally, the measures identified can prevent and eliminate numerous TD types and subtypes. The study elaborates on 31 measures that address 129 TD subtypes and proposes a systematic lessons-learned-based step for managing TD incidents in the automation sector.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124406928","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

Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders 基于变分自编码器的特征空间插值数据增强改进在线无损水分估计

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218063

C. R. Wewer, A. Iosifidis

{"title":"Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders","authors":"C. R. Wewer, A. Iosifidis","doi":"10.1109/INDIN51400.2023.10218063","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218063","url":null,"abstract":"Data augmentation techniques have proven to be highly effective for many types of problems. However, the development of data augmentation for continuous input-output mappings in regression problems has not received much attention. Insufficient training data remains a significant challenge in machine learning, especially for industrial applications, as the cost of experimentation on the production line can be prohibitively expensive. This acts as a barrier to adoption of machine learning methods in industrial applications. In this study, we propose a data augmentation method called feature space interpolation for continuous input-output regression problems based on discontinuous data sets with clear gaps in the data. The proposed method is applied to a dataset of industrial drying of bulky filter media products. It is shown, that augmenting the original dataset by generated synthetic data points in the gap of the dataset by interpolation in the latent space of a well-trained variational autoencoder (VAE) can improve the performance of state-of-the-art of bulky filter media product moisture content estimation models, as measured by the mean absolute error and mean squared error by 4.82% and 6.32% respectively, and outperforms baseline generative data augmentation methods such as latent space sampling from VAEs.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134638475","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

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach 水电站异常检测:一种基于机器学习的方法

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218027

Mattia Fanan, Claudio Baron, R. Carli, Marc-Aurèle Divernois, J. Marongiu, Gian-Antonio Susto

{"title":"Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach","authors":"Mattia Fanan, Claudio Baron, R. Carli, Marc-Aurèle Divernois, J. Marongiu, Gian-Antonio Susto","doi":"10.1109/INDIN51400.2023.10218027","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218027","url":null,"abstract":"Hydroelectric is currently the most prominent among the sources of green energy, but, differently from the other sources, it has very strict requirements in terms of security that are taken into account with extremely robust constraints both at design and operations control times. In this paper, we evaluated the effectiveness of anomaly detection and explainability algorithms to supplement Decision Support System insights in Predictive Maintenance and Root Cause Analysis for hydroelectric power plants. The objective is to reduce operational costs and increase reliability in the plant, making hydroelectric technology more appealing to investors and promoting the transition to renewable energy. Specifically, the performance of several anomaly detection models was compared on real-world data with respect to the needs of the expert of the domain, that is the final user of the DSS, to work as an additional feature to speed up predictive maintenance. Additionally, the impact of SHapley Additive exPlanations values on helping the user understand the anomaly causes was investigated. Our findings are that the most performing algorithm was Auto-Encoder since it was able to find all recorded anomalies and even propose additional ones later confirmed by domain experts. The application of SHAP values was found to effectively guide the user toward the features related to the anomaly, although its application on streaming data was slow.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621291","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

Concept of a causality-driven fault diagnosis system for cyber-physical production systems 网络物理生产系统因果驱动故障诊断系统的概念

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218199

Carl Willy Mehling, Sven Pieper, Steffen Ihlenfeldt

引用次数: 0

Best Paper Award INDIN 2023 2023年印度最佳论文奖

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/indin51400.2023.10218230

引用次数: 0

Increasing Ethernet TSN Multi-Protocol Interoperability by Algorithmic Configuration Merge 通过算法配置合并提高以太网TSN多协议互操作性

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217988

Janis Albrecht, Alexander Biendarra, J. Jasperneite

{"title":"Increasing Ethernet TSN Multi-Protocol Interoperability by Algorithmic Configuration Merge","authors":"Janis Albrecht, Alexander Biendarra, J. Jasperneite","doi":"10.1109/INDIN51400.2023.10217988","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10217988","url":null,"abstract":"Standardization and prototyping of Ethernet Time Sensitive Networking (TSN) makes progress and its mechanisms are utilized with various application protocols and technologies within the industrial automation domain. Sharing Ethernet TSN mechanisms in multi-protocol networks impacts interoperability. Although the International Electrotechnical Commission (IEC) and the Institute of Electrical and Electronics Engineers (IEEE) attempt to unify Ethernet TSN utilization with the IEC/IEEE 60802 TSN Profile for Industrial Automation, Ethernet TSN devices already exists on the market by different vendors. An area of conflict is the egress configuration of a single Ethernet-Interface for TSN streams of different technologies, such as PROFINET, CC-Link IE TSN and OPC UA Field eXchange. A practical post processing solution can be to merge Ethernet TSN configurations for a single port. A concept for a Configuration Merge Algorithm (COMEA) is presented in this work. A test environment consisting of multiple industrial automation applications with an Ethernet TSN network infrastructure is used to demonstrate the result of application.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127664057","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

Automated Physical TestBeds (APTB 2.0): Enabling Reliable and Efficient Testing of Wireless Communication Networks for IoT and Industry 4.0 自动化物理测试平台(APTB 2.0):为物联网和工业4.0实现可靠、高效的无线通信网络测试

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218143

A. Sikora, Fabian Sowieja, Sebastian E Jubin, Manuel Schappacher, Wacime Hadrich

{"title":"Automated Physical TestBeds (APTB 2.0): Enabling Reliable and Efficient Testing of Wireless Communication Networks for IoT and Industry 4.0","authors":"A. Sikora, Fabian Sowieja, Sebastian E Jubin, Manuel Schappacher, Wacime Hadrich","doi":"10.1109/INDIN51400.2023.10218143","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218143","url":null,"abstract":"Wireless communication networks are crucial for enabling megatrends like the Internet of Things (IoT) and Industry 4.0. However, testing these networks can be challenging due to the complex network topology and RF characteristics, requiring a multitude of scenarios to be tested. To address this challenge, the authors developed and extended an automated testbed called Automated Physical TestBed (APTB). This testbed provides the means to conduct controlled tests, analyze coexistence, emulate multiple propagation paths, and model dependable channel conditions. Additionally, the platform supports test automation to facilitate efficient and systematic experimentation. This paper describes the extended architecture, implementation, and performance evaluation of the APTB testbed. The APTB testbed provides a reliable and efficient solution for testing wireless communication networks under various scenarios. The implementation and performance verification of the testbed demonstrate its effectiveness and usefulness for researchers and industry practitioners.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127806133","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

Efficient Production Scheduling by Exploiting Repetitive Product Configurations 利用重复的产品配置实现高效的生产调度

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218249

Niels Grüuttemeier, Kaja Balzereit, Nehal Soni, Andreas Bunte

引用次数: 0

Integration of Machine Learning Safety Functions in the Ontology of Functional Safety 功能安全本体中机器学习安全功能的集成

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217928

M. Kieviet, Padma Iyenghar

引用次数: 0