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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )最新文献

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Interpretable Machine Learning: A brief survey from the predictive maintenance perspective 可解释性机器学习:从预测性维护的角度简述
Simon Vollert, Martin Atzmueller, Andreas Theissler
In the field of predictive maintenance (PdM), machine learning (ML) has gained importance over the last years. Accompanying this development, an increasing number of papers use non-interpretable ML to address PdM problems. While ML has achieved unprecedented performance in recent years, the lack of model explainability or interpretability may manifest itself in a lack of trust. The interpretability of ML models is researched under the terms explainable AI (XAI) and interpretable ML. In this paper, we review publications addressing PdM problems which are motivated by model interpretability. This comprises intrinsically interpretable models and post-hoc explanations. We identify challenges of interpretable ML for PdM, including (1) evaluation of interpretability, (2) the observation that explanation methods explaining black box models may show black box behavior themselves, (3) non-consistent use of terminology, (4) a lack of research for time series data, (5) coverage of explanations, and finally (6) the inclusion of domain knowledge,
在预测性维护(PdM)领域,机器学习(ML)在过去几年中变得越来越重要。随着这一发展,越来越多的论文使用不可解释的ML来解决PdM问题。虽然ML近年来取得了前所未有的成绩,但缺乏模型可解释性或可解释性可能表现为缺乏信任。机器学习模型的可解释性在可解释AI (explainable AI, XAI)和可解释ML这两个术语下被研究。在本文中,我们回顾了解决由模型可解释性驱动的PdM问题的出版物。这包括本质上可解释的模型和事后解释。我们确定了PdM中可解释ML的挑战,包括(1)可解释性评估,(2)观察解释黑箱模型的解释方法可能会显示黑箱行为本身,(3)术语使用不一致,(4)缺乏对时间序列数据的研究,(5)解释的覆盖范围,最后(6)领域知识的包含。
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引用次数: 35
Temperature Control of a Process with Discharge Air Recirculation and Measurement Lag 有排气再循环和测量滞后的过程温度控制
A. Busboom
This paper deals with controlling a process that requires a constant air temperature at its inlet. Temperature control is achieved by partially recirculating the hot discharge flow from the process and mixing it with cooler ambient air. The system is characterized by a deadtime in the recirculation path, lagging temperature measurements at the process inlet and discharge, and by slow dynamics of the actuator influencing the recirculation fraction. As a control structure we propose a three-point controller with a deadband and hysteresis, combined with a delayed feedback. Due to the nonlinear nature of the system, the parameters of the delayed feedback are subject to scheduling, depending on the current recirculation fraction. In order to swiftly react to changes in the process load, an additional feedforward path from the process exhaust is proposed. Performance and robustness of the controller are confirmed in simulations and field experiments.
本文讨论的是控制一个需要在进口处保持恒定空气温度的过程。温度控制是通过部分再循环过程中的热排放流并将其与较冷的环境空气混合来实现的。该系统的特点是在再循环路径上存在死区,在工艺入口和出口处的温度测量滞后,以及执行器的缓慢动力学影响再循环分数。作为一种控制结构,我们提出了一个带有死带和滞后的三点控制器,并结合了延迟反馈。由于系统的非线性性质,延迟反馈的参数受制于调度,取决于当前的再循环分数。为了快速响应过程负荷的变化,提出了一个额外的过程排气前馈路径。仿真和现场实验验证了该控制器的性能和鲁棒性。
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引用次数: 0
Energy Efficient-based Sensor Data Prediction using Deep Concatenate MLP 基于深度连接MLP的节能传感器数据预测
Made Adi Paramartha Putra, Ade Pitra Hermawan, Dong-Seong Kim, Jae-Min Lee
This paper proposes a system to reduce sensor energy consumption by predicting the next sensor value. The current implementation of the smart factory utilizes wireless sensor network nodes to monitor the environmental condition in real-time. Instead of periodically exploiting those nodes, a deep learning prediction-based algorithm is proposed in the cluster head to reduce sensing times and increase sensor lifetime. The cluster head can learn the behavior of each sensor nodes based on its previous value. The proposed scenario can be combined with existing solutions in sensor failure detection and recovery to provide a robust solution in the industrial environment.
本文提出了一种通过预测下一个传感器值来降低传感器能耗的系统。目前智能工厂的实现是利用无线传感器网络节点实时监测环境状况。本文提出了一种基于深度学习预测的算法来减少感知次数,提高传感器的使用寿命,而不是周期性地利用这些节点。簇头可以根据每个传感器节点的前一个值来学习其行为。所提出的方案可以与传感器故障检测和恢复的现有解决方案相结合,为工业环境提供强大的解决方案。
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引用次数: 10
Radio map upscaling - adding antennas in an indoor localization scenario 无线电地图升级-在室内定位场景中增加天线
Roland Stenzl, S. Wilker, T. Sauter, T. U. Wien, A. Nagy, Thomas Bigler, A. Treytl
With technological revolutions like the Internet of Things and Industry 4.0 on the doorstep, localization of network nodes is more important than ever. Indoor localization systems mostly work with omnidirectional antennas for simplicity reasons. Using directional antennas has advantages, though, and devices with such antennas will be included in IoT systems someday. In this paper, the focus is on dynamic changes in the configuration of localization systems. Adding an antenna must be handled fast and efficiently. Frequent recalculations of the configuration could be necessary, and limited resources make a reduction of the computational effort desirable. In this work we look at possible methods to cut the computational effort while minimizing the penalty on accuracy. Since accuracy is of utmost importance for indoor localization, there is a fine line which is important to find.
随着物联网和工业4.0等技术革命的到来,网络节点的本地化比以往任何时候都更加重要。出于简单的原因,室内定位系统大多使用全向天线。不过,使用定向天线具有优势,有一天,带有这种天线的设备将被包含在物联网系统中。本文的重点是定位系统配置的动态变化。增加天线必须快速有效地处理。频繁地重新计算配置可能是必要的,并且有限的资源减少了所需的计算工作量。在这项工作中,我们着眼于可能的方法来减少计算工作量,同时尽量减少对准确性的影响。由于精度对室内定位至关重要,因此找到一条细线非常重要。
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引用次数: 0
An Approach for Context-Sensitive Situational Risk Evaluation of Autonomous Systems 一种情境敏感的自主系统情境风险评估方法
Manuel Müller, N. Jazdi, M. Weyrich
Advances in automation technology and AI research, as well as the trend toward digitalization and networking, make modern automation systems complex, heterogeneous and dynamic, i.e., changes to the system and its environment are increasingly becoming the norm. Under such conditions, the classic safety process of certifying a snapshot at the end of the design phase becomes insufficient. To overcome this, we propose an approach that evaluates the safety of the actions of such systems at runtime. In doing so, the approach addresses three fundamental challenges of online safety assurance, namely, incorporating safety requirements into the online design process, coping with dynamic changes in the environment, and dealing with the uncertainties arising from dynamics and unpredictable environments and the adaptation of the system to them. The presented approach is applied to a specific scenario that shows promising results in simulation.
自动化技术和人工智能研究的进步,以及数字化和网络化的趋势,使现代自动化系统变得复杂、异构和动态,即系统及其环境的变化日益成为常态。在这种情况下,在设计阶段结束时对快照进行认证的经典安全过程变得不足。为了克服这一点,我们提出了一种在运行时评估此类系统操作安全性的方法。在此过程中,该方法解决了在线安全保障的三个基本挑战,即将安全要求纳入在线设计过程,应对环境的动态变化,以及处理动态和不可预测环境所产生的不确定性以及系统对其的适应。将该方法应用于一个特定的场景,并在仿真中显示出良好的效果。
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引用次数: 2
Why Does Technology Policy around Industry 4.0 Continue to Draw its Logic from 1960s Diffusion Models? 为什么围绕工业4.0的技术政策继续从20世纪60年代的扩散模型中汲取逻辑?
C. Ivory, L. Walsh
In this article we argue that established thinking around the slow adoption of industry 4.0 amongst small and medium manufacturing enterprises (SMEs) in the North Sea Region requires further reflection and re-formulation. It is argued that the diffusion metaphor presently shaping thinking around policy intervention overly focuses attention on firm characteristics and behaviour while focusing too little attention on the specific strategic economic context(s) within which firms make adoption decisions. This article highlights two contextual aspects that shape firm strategic choices: interpretative flexibility and uncertainty about further future technology change.
在本文中,我们认为,围绕北海地区中小型制造企业(sme)缓慢采用工业4.0的既定思维需要进一步反思和重新制定。有人认为,目前围绕政策干预形成思维的扩散隐喻过于关注企业特征和行为,而对企业做出采用决策的具体战略经济背景关注太少。本文强调了影响企业战略选择的两个背景因素:可解释性的灵活性和未来技术变革的不确定性。
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引用次数: 0
Hierarchization and Integration of IEC 61131-3 and IEC 61499 for Enhanced Reusability IEC 61131-3和IEC 61499的分层和集成以增强可重用性
Martin Melik-Merkumians, P. Gsellmann, G. Schitter
Today's markets are short-lived and volatile. The producing industry needs to be able to react fast and cost-effective to product and process changes. Following the trend of Industry 4.0, current automation systems are designed as Cyber-Physical Production System (CPPS), which main properties are the distribution of capabilities and strict modularization to enhance reuse of off-the-shelf automation components. The currently dominant Programmable Logic Controller programming standard IEC 61131 was conceived with mainly centralistic systems in mind, which limits its use for nowadays CPPS scenarios. Focusing on the software aspect, the contribution of this work is an enhanced hierarchic development approach for automation systems, which aims to decouple all hardware from the control flow logic of an automation system for combined IEC 61131 and IEC 61499 systems. Therefore, a migration path for IEC 61131 Function Blocks into the development model of the event-driven IEC 61499 is presented, and issues are discussed. Both approaches pay special attention to the reusability of software.
今天的市场都是短命且不稳定的。生产行业需要能够对产品和工艺变化做出快速和经济的反应。遵循工业4.0的趋势,当前的自动化系统被设计为网络物理生产系统(CPPS),其主要特性是功能分布和严格的模块化,以提高现成自动化组件的重用性。目前占主导地位的可编程逻辑控制器编程标准IEC 61131主要考虑的是集中式系统,这限制了它在当今CPPS场景中的使用。专注于软件方面,这项工作的贡献是自动化系统的增强分层开发方法,旨在将所有硬件与IEC 61131和IEC 61499系统组合的自动化系统的控制流逻辑解耦。因此,提出了IEC 61131功能块向事件驱动的IEC 61499开发模型迁移的路径,并讨论了相关问题。这两种方法都特别关注软件的可重用性。
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引用次数: 1
The performance of openSAFETY protocol via IEEE 802.11 wireless communication openSAFETY协议通过IEEE 802.11无线通信的性能
Armin Hadziaganovic, M. K. Atiq, Thomas Blazek, Hans-Peter Bernhard, A. Springer
Functional safety has become a crucial part of industrial automation. With industry environments being connected more than ever, achieving required functional safety depends on establishing safety-critical communication. Numerous application layer safety protocols have been developed to ensure compliance with functional safety standards for wired communications. However, with all the benefits wireless communications entails, wireless communication is pushing for an important place in the future of industrial automation. It is important that safety protocols also follow this transition and are able to operate as intended using a wireless channel. By default, openSAFETY frames are exchanged using UDP broadcast, whereas TCP provides additional reliability features. Thus, the aim of this paper is to analyze if safety-critical communication using a wireless channel can benefit from the additional reliability features provided by TCP. To answer this, we experimentally analyze the performance of openSAFETY protocol providing functional safety over the IEEE 802.11 standard for three different test cases. We analyze the performance in terms of median end-to-end delay and time spent by a safety node in a safe state for both protocol stacks. Results show that UDP provides lower median end-to-end delay, whereas TCP is able to achieve less time spent in a safe state under bounded delay constraint.
功能安全已成为工业自动化的重要组成部分。随着工业环境比以往任何时候都更加互联,实现所需的功能安全取决于建立安全关键通信。为了确保符合有线通信的功能安全标准,已经开发了许多应用层安全协议。然而,由于无线通信带来的所有好处,无线通信正在推动在未来的工业自动化中占据重要地位。重要的是,安全协议也遵循这种转变,并能够使用无线信道按预期操作。默认情况下,openSAFETY帧使用UDP广播进行交换,而TCP提供了额外的可靠性特性。因此,本文的目的是分析使用无线信道的安全关键通信是否可以从TCP提供的额外可靠性特性中受益。为了回答这个问题,我们在三个不同的测试用例中实验分析了openSAFETY协议在IEEE 802.11标准上提供功能安全的性能。我们根据中位端到端延迟和安全节点在两个协议栈的安全状态下花费的时间来分析性能。结果表明,UDP提供更低的端到端延迟中值,而TCP在有界延迟约束下能够实现更少的安全状态花费时间。
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引用次数: 6
Mel Spectrogram Analysis for Punching Machine Operating State Classification with CNNs 基于cnn的冲床工作状态分类Mel谱图分析
Dominik Mittel, Sebastian Pröll, F. Kerber, Thorsten Schöler
Data driven analysis and optimization of production processes has become a pivotal instrument to use enterprise resources more efficiently and to improve product quality. However, availability and quality requirements still limit the prevalence of big data and learning techniques in industrial applications. Therefore, retrofitting sensors to brownfield systems has been suggested as a solution to acquire relevant real-time process data. In this paper, a low-cost retrofit approach to analyze the operating state of manually operated punching machines based on sound analysis is presented. The machine operating states provide additional information about the metal forming process, required for the enterprise resource planning (ERP) system to optimally schedule orders in prefabrication and plan available resources. As an analysis tool, a transfer learning approach with a convolutional neural network was used to assess data accuracy and prediction results. The input data consists of Mel Spectrogram images acquired by sound sensors retrofitted to the punching machines. The experiments show that the adapted EfficentNet-B0 achieves an accuracy, sensitivity, and precision of approximately 98 % on unseen data in real environment thus demonstrating the applicability of the implemented system.
数据驱动的生产过程分析和优化已成为更有效地利用企业资源和提高产品质量的关键手段。然而,可用性和质量要求仍然限制了大数据和学习技术在工业应用中的普及。因此,建议将传感器改造到棕地系统中,作为获取相关实时过程数据的解决方案。提出了一种基于声音分析的人工冲床运行状态分析的低成本改造方法。机器运行状态提供了关于金属成形过程的额外信息,企业资源规划(ERP)系统需要这些信息来优化预制订单和计划可用资源。作为分析工具,使用卷积神经网络的迁移学习方法来评估数据的准确性和预测结果。输入数据由安装在冲床上的声音传感器获得的Mel谱图图像组成。实验表明,改进后的EfficentNet-B0在实际环境中对未见过的数据处理的准确度、灵敏度和精密度均达到98%左右,证明了所实现系统的适用性。
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引用次数: 0
Building Discrete-Event Simulation for Digital Twin Applications in Production Systems 建筑离散事件仿真在生产系统中的应用
A. Sakr, Ayman AboElHassan, S. Yacout, S. Bassetto
Digital equivalence is the main objective of Digital Twin (DT)s, and simulation is an integral part. DTs reach beyond traditional simulation with the help of real-time synchronization through Industrial Internet of Things (IIoT) technologies. Simulation supports off-line experimentations and planning, while DTs offer synchronous execution and modification. DTs help to understand “what may happen”. Also, they present “what is happening” and its management methodologies. In this paper, we present building aspects and an integration approach for a Digital Twin based Discrete-Event Simulation model. Our approach utilizes a data-driven agent-based simulation within a DT framework. It presents an integration layer that provides two essential features: reconfiguration and state initialization. It gives simulation models configurability and integrity that are required for operating within a DT. Our proposed approach is presented through a use case of a semiconductor manufacturing system. The proposed integration layer extends the usability of current Discrete-Event Simulation (DES) for a DT within a Cyber-Physical Production System.
数字等效是数字孪生(DT)技术的主要目标,而仿真是其中的重要组成部分。通过工业物联网(IIoT)技术的实时同步,DTs超越了传统的仿真。仿真支持离线实验和规划,而DTs提供同步执行和修改。DTs有助于理解“可能发生的事情”。此外,他们还介绍了“正在发生的事情”及其管理方法。在本文中,我们提出了基于数字孪生的离散事件仿真模型的构建方面和集成方法。我们的方法在DT框架内利用数据驱动的基于代理的模拟。它提供了一个集成层,提供两个基本特性:重新配置和状态初始化。它提供了在DT内操作所需的仿真模型的可配置性和完整性。我们提出的方法是通过一个半导体制造系统的用例来展示的。提出的集成层扩展了当前离散事件仿真(DES)在网络物理生产系统中的可用性。
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引用次数: 1
期刊
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
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