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2023 IEEE 21st International Conference on Industrial Informatics (INDIN)最新文献

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Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals 基于音频信号的ROCKET激光切割过程中切割中断检测
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218267
Kathrin Leiner, Frederic P. Dollmann, Marco F. Huber, Manuel Geiger, Stefan Leinberger
{"title":"Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals","authors":"Kathrin Leiner, Frederic P. Dollmann, Marco F. Huber, Manuel Geiger, Stefan Leinberger","doi":"10.1109/INDIN51400.2023.10218267","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218267","url":null,"abstract":"Laser cutting is one of the classic methods used in metal processing. With increasing automation, it is important to ensure that large volumes can be produced reliably. This includes avoiding re-welding, known as cut interruption. In the presented work, audio signals are used to detect cut interruptions during laser cutting. The audio signal is classified into two classes: good cuts and cut interruptions. To solve this classification problem, the time series classifier RandOm Convolutional KErnel Transform (ROCKET) is used. The influence of the window size, the number of kernels and the repeatability of the training is investigated. With the presented work it is shown that a cut interruption detection with a microphone is possible. For a real world application there is a trade-off between accuracy and window size.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"29 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":"126048736","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
Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs 基于异常检测和因果图的反事实根本原因分析
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218245
Josephine Rehak, Anouk Sommer, Maximilian Becker, Julius Pfrommer, J. Beyerer
{"title":"Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs","authors":"Josephine Rehak, Anouk Sommer, Maximilian Becker, Julius Pfrommer, J. Beyerer","doi":"10.1109/INDIN51400.2023.10218245","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218245","url":null,"abstract":"Anomalies in production processes can cause expensive standstills, damages to the production equipment, waste of materials and flaws in the final product. In production, finding anomalies is usually accomplished by machine learning methods. But to avert anomalies and to automatically recover, actually the detection of the root causes is required. We developed an approach that detects anomalies and then deduces root causes by combining an anomaly detector with a novel Root Cause Analysis (RCA) method based on a causal graph. This specific combination of methods allows causally justified, explainable and counterfactual RCA. The developed algorithm was applied to a simulated gripping process using robotic arms. It found the two root causes of the detected anomalies in the simulated scenarios.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"338 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":"124758856","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
Architecture for Shared Production Leveraging Asset Administration Shell and Gaia-X 利用资产管理Shell和Gaia-X的共享生产体系结构
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218150
Simon Jungbluth, Alexander Witton, J. Hermann, M. Ruskowski
{"title":"Architecture for Shared Production Leveraging Asset Administration Shell and Gaia-X","authors":"Simon Jungbluth, Alexander Witton, J. Hermann, M. Ruskowski","doi":"10.1109/INDIN51400.2023.10218150","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218150","url":null,"abstract":"To achieve flexible, resilient and sustainable production, the generation of dynamic cross-company supply chains gains importance. The Shared Production scenario aims at sharing manufacturing services within distributed production network through digital interfaces. A prerequisite is secure data sharing in a trustworthy network with certified participants and a common understanding concerning vocahulary, message structure and interaction patterns Gaia-X provides a solution for a secure and federated data infrastructure according to European values (ie., European Data Protection, transparency and trust). Asset Administration Shells (AAS) provide semantic and vendor-independent information models and VDI/VDE 2193 proposes message structure and interaction protocols for bidding procedures. In this paper, we present the combination of the three concepts to enable the Shared Production scenario. We elaborate on the requirements of Shared Production, develop a system architecture and model AAS Submodel templates to perform an automated bidding procedure. Additionally, the implementation is evaluated based on the bidding of production services to produce model trucks in a demonstrator ecosystem.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"62 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":"127122258","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
Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT 5G工业物联网机器人操作的通信控制协同设计
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218133
Arvind Merwaday, R. Vannithamby, Mark Eisen, Susruth Sudhakaran, D. Cavalcanti, V. Frascolla
{"title":"Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT","authors":"Arvind Merwaday, R. Vannithamby, Mark Eisen, Susruth Sudhakaran, D. Cavalcanti, V. Frascolla","doi":"10.1109/INDIN51400.2023.10218133","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218133","url":null,"abstract":"Industrial Internet of Things (IIoT) use cases have stringent reliability and latency requirements to enable real-time wireless control systems, which are supported by the 5G ultra-reliable low-latency communications (URLLC). However, extremely high quality-of-service (QoS) requirements in 5G URLLC causes huge radio resource consumption and low spectral efficiency, thus limiting network capacity in terms of the number of supported devices. Industrial control applications typically incorporate redundancy in their design and may not always require extreme QoS to achieve the expected control performance. Therefore, we propose both communication-control co-design and dynamic QoS to address the capacity issue for robotic manipulation use cases in 5G-based IIoT. We have developed an advanced co-simulation framework that includes a network simulator, physics simulator, and compute emulator, for realistic performance evaluation of the proposed methods. Through simulations, we show significant improvements in network capacity (i.e., the number of supported URLLC devices), and about 2x gain for the robotic manipulation use case.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"92 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":"127288529","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 Review of 5G Building Management Technologies and Applications in Smart Campus 5G楼宇管理技术及其在智慧校园中的应用综述
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218086
Chiho Li, S. Mak, C. Lee, T. T. Lee, Norton H. Y. Yuen, W. F. Tang
{"title":"A Review of 5G Building Management Technologies and Applications in Smart Campus","authors":"Chiho Li, S. Mak, C. Lee, T. T. Lee, Norton H. Y. Yuen, W. F. Tang","doi":"10.1109/INDIN51400.2023.10218086","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218086","url":null,"abstract":"Smart building is a vital part in the development of the smart city framework. Using intelligent solutions, smart building can reduce energy consumption and enhance safety and security of the building to establish a sustainable environment. Smart campus has attracted attention of the education providers as they aim to offer a quality learning environment for their students and staffs. Most of studies concentrated on using smart building technologies in conventional buildings rather than campuses very often. With the advancement of 5G networking and the related smart technologies, the interconnection between the people, devices and campus environment has been reshaped with digital solutions. This article reviews the associated building management technologies and applications in smart campus and their impacts to the operation of facilities on campus.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"50 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":"128831184","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
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts 用振动概念解释深度神经网络在轴承故障检测中的应用
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218170
T. Decker, Michael Lebacher, Volker Tresp
{"title":"Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts","authors":"T. Decker, Michael Lebacher, Volker Tresp","doi":"10.1109/INDIN51400.2023.10218170","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218170","url":null,"abstract":"Concept-based explanation methods, such as Concept Activation Vectors, are potent means to quantify how abstract or high-level characteristics of input data influence the predictions of complex deep neural networks. However, applying them to industrial prediction problems is challenging as it is not immediately clear how to define and access appropriate concepts for individual use cases and specific data types. In this work, we investigate how to leverage established concept-based explanation techniques in the context of bearing fault detection with deep neural networks trained on vibration signals. Since bearings are prevalent in almost every rotating equipment, ensuring the reliability of intransparent fault detection models is crucial to prevent costly repairs and downtimes of industrial machinery. Our evaluations demonstrate that explaining opaque models in terms of vibration concepts enables human-comprehensible and intuitive insights about their inner workings, but the underlying assumptions need to be carefully validated first.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"1 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":"129045321","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
Robot Motion Control Offloading in 5G Network Using Trajectory Interpolation 基于轨迹插值的5G网络机器人运动控制卸载
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217865
David Ginthoer, Henrik Klessig
{"title":"Robot Motion Control Offloading in 5G Network Using Trajectory Interpolation","authors":"David Ginthoer, Henrik Klessig","doi":"10.1109/INDIN51400.2023.10217865","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10217865","url":null,"abstract":"5G technology in manufacturing can enable a more flexible, versatile and efficient usage of production assets, including robots, by shifting the intelligence to the cloud and controlling the devices wirelessly. However, achieving very low cycle times in the range of milliseconds for real-time control of such applications is still a major challenge in currently available 5G networks. In this work, we present a test setup that uses a control-split approach which allows to operate a robotic arm with a variable cycle time by using a piece-wise spline interpolation on the motion trajectory. We verified functionality of this approach over a private 5G network deployed in a factory. Measurement results on the network performance and the robot trajectory accuracy are presented. Our results show that the proposed robot control implementation operates reliably even under high network utilization due to background traffic with only moderate tracking error.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"96 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":"116991887","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 Prototype for Lab-Based System Testing of Cyber Physical Systems for Smart Farming 基于实验室的智能农业网络物理系统测试原型
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218112
A. T. Oluwayemi, Kristian Rother, Stefan Henkler
{"title":"A Prototype for Lab-Based System Testing of Cyber Physical Systems for Smart Farming","authors":"A. T. Oluwayemi, Kristian Rother, Stefan Henkler","doi":"10.1109/INDIN51400.2023.10218112","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218112","url":null,"abstract":"Machine learning models are typically evaluated directly on data, in simulated environments or in real conditions. Because smart farming involves cyber physical systems, location information, environment conditions, hardware configurations and timing issues matter. Therefore, it is desirable to perform system testing in real conditions. However, in the agricultural domain, this is often not feasible due to economic constraints or due to the fact that one would have to wait for the crops to grow before conducting the evaluation. Therefore, we propose an architecture and a prototypical implementation for lab-based system testing of machine learning based cyber physical systems in the agricultural domain.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"9 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":"115486142","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 Autonomous Inspection Method for Pitting Detection Using Deep Learning* 基于深度学习的点蚀自动检测方法*
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218256
Luciane B. Soares, P. Evald, Eduardo Augusto D. Evangelista, Paulo L. J. Drews-Jr, S. Botelho, Rafaela Iovanovichi Machado
{"title":"An Autonomous Inspection Method for Pitting Detection Using Deep Learning*","authors":"Luciane B. Soares, P. Evald, Eduardo Augusto D. Evangelista, Paulo L. J. Drews-Jr, S. Botelho, Rafaela Iovanovichi Machado","doi":"10.1109/INDIN51400.2023.10218256","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218256","url":null,"abstract":"The corrosion inspection process in ship tanks used by the oil industry for the production, storage, and disposal of oil, which is known as Floating Production Storage and Offloading (FPSO), is predominantly manual. It requires a long production downtime, and is an unhealthy job for inspectors. In the literature, some works proposed methods for corrosion segmentation. However, none of them classifies the level of corrosion in accordance with the International Association of Classification Societies (IACS) standard. This work proposes the use of U-Net-based network for segmentation of pitting corrosion, and also provides a corrosion level analysis algorithm relating the identified pitting to the IACS standard. Furthermore, data augmentation methods are adopted to make the dataset more diversified, aiming to generalize the neural network learning. The results indicate a mean squared error of only 0.1639 using the proposed method, and an intersection-of-union of 0.9453. In addition, we compared our method with classical methods such as Canny, Laplacian, Otsu, and Sobel methods, where a relevant advantage is obtained with U-Net.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"39 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":"132503261","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
Reduce the Handicap: Performance Estimation for AI Systems Safety Certification 减少障碍:人工智能系统安全认证的性能评估
2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218017
Julius Pfrommer, M. Poyer, Saksham Kiroriwal
{"title":"Reduce the Handicap: Performance Estimation for AI Systems Safety Certification","authors":"Julius Pfrommer, M. Poyer, Saksham Kiroriwal","doi":"10.1109/INDIN51400.2023.10218017","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218017","url":null,"abstract":"The safety validation of AI and ML-based systems is challenging, as (i) analytical validation needs to include the interaction with a complex and stochastic physical environment and (ii) empirical validation needs to observe very long time-horizons to get enough “statistical signal” for the typically very low safety-related incident rate. This paper proposes an approach that amplifies the empirical evidence by introducing a handicap that reduces the system performance—making safety-related failures empirically more visible in a controlled environment—and gradually removing the handicap so that the convergence to the final incident rate can be estimated. Two numerical case studies are used to support and exemplify the approach.","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":"126905416","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
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