Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献_第2页

Upper Extremity Joint Torque Estimation Through an EMG-Driven Model 基于肌电驱动模型的上肢关节扭矩估计

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89952

Shadman Tahmid, J. M. Font-Llagunes, Jie Yang

{"title":"Upper Extremity Joint Torque Estimation Through an EMG-Driven Model","authors":"Shadman Tahmid, J. M. Font-Llagunes, Jie Yang","doi":"10.1115/detc2022-89952","DOIUrl":"https://doi.org/10.1115/detc2022-89952","url":null,"abstract":"\u0000 Cerebrovascular accidents like a stroke can affect lower limb as well as upper extremity joints (i.e., shoulder, elbow or wrist) and hinder the ability to produce necessary torque for activities of daily living. In such cases, muscles’ ability to generate force reduces, thus affecting the joint’s torque production. Understanding how muscles generate force is a key element to injury detection. Researchers developed several computational methods to obtain muscle forces and joint torques. Electromyography (EMG) driven modeling is one of the approaches to estimate muscle forces and obtain joint torques from muscle activity measurements. Musculoskeletal models and EMG-driven models require necessary muscle-specific parameters for the calculation. The focus of this research is to investigate the EMG-driven approach along with an upper extremity musculoskeletal model to determine muscle forces of two major muscle groups, biceps brachii and triceps brachii, consisting of seven muscle-tendon units. Estimated muscle forces were used to determine the elbow joint torque. Experimental EMG signals and motion capture data were collected for a healthy subject. The musculoskeletal model was scaled to match the geometric parameters of the subject. First, the approach calculated muscle forces and joint moment for simple elbow flexion-extension. Later, the same approach was applied to an exercise called triceps kickback, which trains the triceps muscle group. Individual muscle forces and net joint torques for both tasks were estimated.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131414421","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

Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms 零信任的多任务工程:一种建模方法及其在海上风电场中的应用

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90067

Douglas L. Van Bossuyt, Britta Hale, R. Arlitt, N. Papakonstantinou

{"title":"Multi-Mission Engineering With Zero Trust: A Modeling Methodology and Application to Contested Offshore Wind Farms","authors":"Douglas L. Van Bossuyt, Britta Hale, R. Arlitt, N. Papakonstantinou","doi":"10.1115/detc2022-90067","DOIUrl":"https://doi.org/10.1115/detc2022-90067","url":null,"abstract":"\u0000 With the growth of autonomy and augmentation of machine learning in system decision-making, systems-of-systems (SoS) have become increasingly complex. Security and safety, as well as national economic stability, are reliant on interconnected systems with multiple decision making components. While such inter-connectivity advances the speed at which action and mission control decision making can take place, it also increases the number of dependencies at risk in the case of an attack and the speed at which attacks become effective in their goals. Attacks on the supply chain and on system lifecycle phases other than the operation are also becoming more common. In this paper we consider from a mission engineering perspective a complex reconfigurable SoS covering management of a wind farm with autonomous uncrewed patrol systems, crewed maintenance vessels, back-end control and machine learning components. The complex SoS is situated in the exclusive economic zone of one country, but with perimetric position to regional power competitors. We investigate causal effects of adversarial capabilities in the case study, using a zero trust combined with Defense in Depth approach. Of particular interest are situations where an adversary injects an incipient fault during one mission that is only brought to fruition during a subsequent mission.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114598850","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

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming 强化学习作为板件成形设计参数预测的替代方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89073

Fabian Dworschak, C. Sauer, B. Schleich, S. Wartzack

{"title":"Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming","authors":"Fabian Dworschak, C. Sauer, B. Schleich, S. Wartzack","doi":"10.1115/detc2022-89073","DOIUrl":"https://doi.org/10.1115/detc2022-89073","url":null,"abstract":"\u0000 This contribution presents an approach and a case study to compare Reinforcement Learning (RL) and Genetic Algorithms (GA) for parameter prediction in Sheet Bulk Metal Forming (SBMF). Machine Learning (ML) and Multi-Objective Optimization (MOO) to provide different points of view for the prediction of manufacturing parameters. While supervised learning depends on sufficient training data, GA lack the ability to explain how sufficient parameters were achieved. RL could help to overcome both issues, as it is independent from training data and can be used to learn a policy leading towards suitable parameter combinations, which can be tracked through the solution space. To probe RL in terms of feasibility for parameter prediction and necessary training effort SBMF serves as an appropriate use case because solution and objective function space are multidimensional, and their relations are challenging for MOO. The results of a Reinforcement Learner and a GA are compared and discussed to answer the question under which circumstances RL can provide an alternative for parameter prediction.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124054975","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

Classification of Surface Defects on Galvanized Cold-Rolled Steel Sheets Using Data-Driven Fault Model With Attention Mechanism 基于数据驱动故障模型的冷轧镀锌钢板表面缺陷分类

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91218

Hao Chen, Zhenguo Nie, Qingfeng Xu, Jianghua Fei, Kang Yang, Yaguan Li, Wenhui Fan, Xin-Jun Liu

{"title":"Classification of Surface Defects on Galvanized Cold-Rolled Steel Sheets Using Data-Driven Fault Model With Attention Mechanism","authors":"Hao Chen, Zhenguo Nie, Qingfeng Xu, Jianghua Fei, Kang Yang, Yaguan Li, Wenhui Fan, Xin-Jun Liu","doi":"10.1115/detc2022-91218","DOIUrl":"https://doi.org/10.1115/detc2022-91218","url":null,"abstract":"\u0000 In the production of the galvanized cold-rolled steel sheets used for stamping car body parts, in-situ and real-time defective detecting is crucial for quality control, in which various types of defects will inevitably occur. It is challenging to improve the accuracy of defect image classification by appropriate means to assist the manual screening process better. Defects under actual production conditions are often not prominent enough in defect characteristics, and there may be a significant similarity between different defect categories. To eliminate this weakness, we propose a data-driven faulty detection model named Steel Faulty Detection Attention Net (SFDANet) that uses images of the galvanized steel surface as input to identify whether the product is qualified and automatic classification of defect types instantaneously. This method can shorten product inspection time and improve production line efficiency automatically. In addition, the attention mechanism is utilized, enhancing the performance of SFDANet. Compared with the baseline that applied the ResNet method, SFDANet achieves a noticeable improvement in the classification accuracy of the test data. The well-trained model can successfully show an improved performance than the baseline models on the multiple types of faulty. Enhanced by SFDANet with high classification accuracy, the defect rate of products is significantly reduced, and the production speed of the production line is significantly improved.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125001386","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

Challenges in Implementing Digital Twins – a Survey 实施数字孪生的挑战-调查

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88786

J. Trauer, Michael Mutschler, M. Mörtl, M. Zimmermann

{"title":"Challenges in Implementing Digital Twins – a Survey","authors":"J. Trauer, Michael Mutschler, M. Mörtl, M. Zimmermann","doi":"10.1115/detc2022-88786","DOIUrl":"https://doi.org/10.1115/detc2022-88786","url":null,"abstract":"\u0000 Despite the undisputed potentials of Digital Twins, they are still lacking application in industry. However, the reasons for this observation are still unclear. Therefore, a survey with 61 industrial professionals was conducted to investigate the most crucial impediments in implementing Digital Twins. The research was guided by four research questions — (1) Is there still ambiguity in the terminology of Digital Twins? (2) What are characteristics of Digital Twin projects in industry? (3) What are the most crucial (categories of) impediments in implementing Digital Twins? and (4) Are non-technical issues more likely to cause problems, than technical issues? First, contextual aspects were collected. They include the background of the participant, the operating fields and size of the company, as well as characteristic information on digitalization projects in general and Digital Twin projects more specifically. Then participants were asked to rate categories of issues as well as very specific impediments with respect to their likelihood to cause problems in the implementation of Digital Twins. The results show that technical issues, like missing standardization of data and models, are still present. However, according to the collected data, non-technical issues, like a lack of expertise and specialists, are more likely to cause difficulties. Based on these results, directions for future development of Digital Twin research, like the need for a business modelling approach for Digital Twins or a teaching concept, are derived.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129662428","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

Combining Feature Learning and Transfer Learning in Balancing Anomaly Detection for Gas Turbine Engine Vibration Analysis 结合特征学习和迁移学习的燃气轮机振动平衡异常检测

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-88223

Jiarui Xie, Katherine Schmidt, Nausica Budeanu, Vincent Letendre, Y. Zhao

{"title":"Combining Feature Learning and Transfer Learning in Balancing Anomaly Detection for Gas Turbine Engine Vibration Analysis","authors":"Jiarui Xie, Katherine Schmidt, Nausica Budeanu, Vincent Letendre, Y. Zhao","doi":"10.1115/detc2022-88223","DOIUrl":"https://doi.org/10.1115/detc2022-88223","url":null,"abstract":"\u0000 Rotor imbalance is a vital measure that indicates the health state of a gas turbine (GT). Abnormal balancing patterns will lead to excessive vibration and gradually compromise structural integrity. This paper presents the construction of anomaly detection (AD) models that recognize abnormal balancing patterns for two aeroderivative GTs, AGT-A and AGT-B, from Siemens Energy. Such a diagnostic tool can predict at an early stage whether a high vibration would occur during the vibration test and avoid engine reject for re-balance. Machine learning (ML) algorithms have been extensively utilized to conduct GT design space exploration and condition monitoring. However, ML has not been implemented to improve the efficiency of GT manufacturing processes, mainly due to data scarcity. The authors propose a combined feature learning and transfer learning technique to leverage the data resources of GT manufacturing processes. The physical and operational similarities between GTs belonging to the same series imply the transferability of features between models. The normal balancing patterns of the data-rich AGT-A were first learned by a sparse autoencoder to detect balancing anomalies. Then, the learned features were used to initialize the balancing AD model for the data-poor AGT-B. The test accuracy of the AGT-B AD model was increased from 75% to 92% with transfer learning. The presented methodology can facilitate and enable various data-driven analysis tasks for the manufacturing processes of original equipment manufacturers.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130737570","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

Concurrent Shape and Topology Optimization of Metamaterials Based on Periodic Surface Modeling 基于周期曲面建模的超材料同步形状和拓扑优化

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91214

Yanglong Lu, Yan Wang

{"title":"Concurrent Shape and Topology Optimization of Metamaterials Based on Periodic Surface Modeling","authors":"Yanglong Lu, Yan Wang","doi":"10.1115/detc2022-91214","DOIUrl":"https://doi.org/10.1115/detc2022-91214","url":null,"abstract":"\u0000 In the most recent decades, structural optimization (SO) methods including shape and topology optimization have been employed in designing metamaterials. However, shape optimization and topology optimization are usually performed separately. Conventional topology optimization techniques are limited by high computational cost because of the high-dimensional search space. Maintaining the structural continuity and smooth boundaries of metamaterials is also challenging. In this paper, a new SO method based on periodic surface (PS) modeling is proposed to optimize the shape and topology of metamaterials concurrently. The PS model can represent a wide variety of topology with only a small number of design parameters, including periodic moments, basis vectors, and scale parameters. By limiting the number of available basis vectors to choose from, the search efficiency of topology optimization is significantly improved. To solve the mix-integer optimization problem, a mixed-integer Bayesian optimization method is also developed with a new Gaussian process kernel, which is customized for the design parameters in the PS model. The new SO approach is applied to design mechanical metamaterials with high strength-weight ratio and negative Poisson’s ratio. The comparison with other topology optimization methods shows the high efficiency of the proposed approach.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128846906","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 Study on Hexapod Gait Adaptation by Enumerative Encoding and Particle Swarm Optimization 基于枚举编码和粒子群优化的六足动物步态自适应研究

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90305

V. Parque

引用次数: 0

Human-Centric Facility Layout and Production Planning in Mixed Reality 混合现实中以人为中心的设施布局与生产规划

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90962

D. K. Baroroh, C. Chu

{"title":"Human-Centric Facility Layout and Production Planning in Mixed Reality","authors":"D. K. Baroroh, C. Chu","doi":"10.1115/detc2022-90962","DOIUrl":"https://doi.org/10.1115/detc2022-90962","url":null,"abstract":"\u0000 A production system with manual operations tends to have variations in system performance induced by individual differences of human workers. Adjusting the production parameters to meet a specific target under such uncertainty can be time-consuming without the support of advanced simulation tools. Therefore, this research proposes a novel idea of facility layout and system simulation in mixed reality (MR) that facilitates production planning involving human operators. A production planning tool is implemented as an MR application to verify the feasibility of this idea using a test case of logistic facility design. In this case, a manager adjusts the current facility and production parameters designed for one product in order to operate the logistics of two different products that must achieve a given production target. An operator is responsible for manually sorting, transporting, and placing the products for storage. Both are participating in the system simulation as different roles via HoloLens. The MR planning tool provides decision-making support for the manager to quickly complete the adjustment for the target. The planning results show that the tool outperforms traditional simulation software in terms of planning quality and flexibility. Thus, this work verifies the feasibility of MR as a new approach to realizing human-centric production system design.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485607","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

Tradespace Organizational Practices: A Case Study 贸易空间组织实践:案例研究

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91091

J. Daniels, J. Wagner, C. Turner, D. Gorsich, Denise M. Rizzo, G. Hartman, R. Agusti, Annette Skowronska, M. Castanier, S. H. Rapp

{"title":"Tradespace Organizational Practices: A Case Study","authors":"J. Daniels, J. Wagner, C. Turner, D. Gorsich, Denise M. Rizzo, G. Hartman, R. Agusti, Annette Skowronska, M. Castanier, S. H. Rapp","doi":"10.1115/detc2022-91091","DOIUrl":"https://doi.org/10.1115/detc2022-91091","url":null,"abstract":"\u0000 Tradespace analysis capabilities are critical for organizations either selecting large programmatic efforts or those engaged in providing solutions to major program opportunities. The ability of an organization to effectively use the tradespace in their decision-making process had a substantial impact upon programmatic success. Poorly bounded tradespaces may lead to prototype vehicles (or any other system to be designed) that are ultimately unacceptable due to performance, cost, or technical risk issues. Tradespaces that are over-constrained can unduly limit design options and lead to stagnant designs that are unable to incorporate technical innovations. Most organizations find that tradespace analysis presents numerous challenges, so this research aims to address the evaluation of strengths, weaknesses, and opportunities for improvement within an organization. In this study, we explain how an interview-based process was used to perform this analysis and make recommendations for opportunities for process improvement within an organization (Ground Vehicle Systems Center or GVSC). Similar approaches could be applied to other organizations to facilitate the development of an organizational self-assessment that can aid in the identification of internal strengths, weaknesses, and opportunities for improvement within organizations performing tradespace activities.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570970","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