Computers in Industry最新文献_第6页

A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network 通过基于特征的无监督检测网络对漏磁通信号进行异常检测的新方法

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-25 DOI: 10.1016/j.compind.2024.104190

He Zhao, Jinhai Liu, Qiannan Wang, Xiangkai Shen, Lin Jiang

{"title":"A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network","authors":"He Zhao, Jinhai Liu, Qiannan Wang, Xiangkai Shen, Lin Jiang","doi":"10.1016/j.compind.2024.104190","DOIUrl":"10.1016/j.compind.2024.104190","url":null,"abstract":"<div><div>High-precision anomaly detection, as the key technology of magnetic flux leakage (MFL) signal detection, is a challenging task. It is difficult to detect anomalies in MFL signals due to the variety of anomalies and the characteristics of the anomalies are easily submerged in the variation of the natural signals. To address the above issues, a feature-based unsupervised detection network (FUDet) is designed, which accomplishes the unsupervised anomaly detection task through feature discrimination and feature reconstruction. Firstly, a bidirectional discrimination module is proposed, which can input normal and anomaly feature distributions to mine the characteristics of samples, so as to enhance the ability of the model to recognize anomaly signals. Secondly, a dynamic noise generation module is designed to generate different feature distributions for each input that are consistent with the characteristics of MFL signals. This module creates an adversarial effect with the discriminator, allowing it to identify more subtle feature differences through training. Finally, a reconstruction classification module is designed to naturally reconstruct the non-normal features and normal features into normal signals, which can be used to detect anomalies by comparing the difference between the input signals and the reconstructed signals. Experimentally, the method is proved to outperform the P-AUROC of the state-of-the-art method by 3.1% under MFL signals and achieves outstanding results in MFL signal anomaly detection.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104190"},"PeriodicalIF":8.2,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions 扩展现实与离散事件模拟：界定设计权衡和方向的系统审查

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-24 DOI: 10.1016/j.compind.2024.104188

Giulia Wally Scurati , Francesco Ferrise , Marco Bertoni

引用次数: 0

Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates 开发沉浸式桥梁数字孪生平台，促进桥梁损坏评估和资产模型更新

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-23 DOI: 10.1016/j.compind.2024.104189

Muhammad Fawad , Marek Salamak , Qian Chen , Mateusz Uscilowski , Kalman Koris , Marcin Jasinski , Piotr Lazinski , Dawid Piotrowski

{"title":"Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates","authors":"Muhammad Fawad , Marek Salamak , Qian Chen , Mateusz Uscilowski , Kalman Koris , Marcin Jasinski , Piotr Lazinski , Dawid Piotrowski","doi":"10.1016/j.compind.2024.104189","DOIUrl":"10.1016/j.compind.2024.104189","url":null,"abstract":"<div><div>Conventional infrastructure asset management practices have heavily relied on static data collection and suffered from decision lags. Though advanced Structural Health Monitoring (SHM) systems were extensively explored based on multi-functional sensor deployment, asset model updating has not been achieved to facilitate timely and effective decision-making of infrastructure managers due to a lack of system integration. To address this challenge, this study develops the Immersive Bridge Digital Twin Platform (IBDTP) to allow infrastructure managers to automate the SHM processes of bridges and engage them in immersive decision-making processes based on Scan-to-BIM and Augmented Reality (AR) technologies. A novel 3D game engine is proposed as part of IBDTP and was tested using a single-span concrete arch bridge located in Poland. Results show that the measurement data collected and presented in IBDTP improves the infrastructure managers' accessibility to major damage data of the bridge to plan for future interventions. The functions of the IBDTP can be potentially scaled for different types of bridges and critical infrastructure, substantially improving the traditional SHM in terms of data management and 3D structural visualization.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104189"},"PeriodicalIF":8.2,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0166361524001179/pdfft?md5=a6ebf35ab4db5c14eeed0be759e6256a&pid=1-s2.0-S0166361524001179-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Product digital twins: An umbrella review and research agenda for understanding their value 产品数字孪生：了解其价值的总体回顾和研究议程

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-21 DOI: 10.1016/j.compind.2024.104181

Francisco Gomez Medina , Veronica Martinez Hernandez

{"title":"Product digital twins: An umbrella review and research agenda for understanding their value","authors":"Francisco Gomez Medina , Veronica Martinez Hernandez","doi":"10.1016/j.compind.2024.104181","DOIUrl":"10.1016/j.compind.2024.104181","url":null,"abstract":"<div><p>Product Digital Twins (DTs) are digital representations of a physical asset that update synchronously throughout its lifecycle. Over the past decade, a rich and varied literature on the development of new technologies and approaches to implementing product DTs has emerged. This literature has been reviewed multiple times, but the variety in focus and scope of DT reviews has become so extensive that it is challenging to assess our collective understanding and knowledge of DT theory. We address this issue by conducting a systematic umbrella review of product DT reviews, classifying and analysing review themes to understand strengths and shortcomings of product DT literature. Our analysis reveals a key shortcoming in the product DT literature: There is currently little evidence and understanding of DT value. Understanding how DTs provide value to an organisation is of paramount importance, as it will determine the elements of the DT that truly have an effect on value, as well as the mechanisms by which that value is created. We conclude this work by presenting a five-item research agenda to address these shortcomings and develop our understanding of DT value. Since DTs can be complex and expensive to implement, research and practice should focus on those elements of the DT that provide value to the organisation.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104181"},"PeriodicalIF":8.2,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S016636152400109X/pdfft?md5=9a355badb7559ca56d607a28d5927053&pid=1-s2.0-S016636152400109X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated corner grading of trading cards: Defect identification and confidence calibration through deep learning 交易卡的自动边角分级：通过深度学习进行缺陷识别和信心校准

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-19 DOI: 10.1016/j.compind.2024.104187

Lutfun Nahar , Md. Saiful Islam , Mohammad Awrangjeb , Rob Verhoeve

{"title":"Automated corner grading of trading cards: Defect identification and confidence calibration through deep learning","authors":"Lutfun Nahar , Md. Saiful Islam , Mohammad Awrangjeb , Rob Verhoeve","doi":"10.1016/j.compind.2024.104187","DOIUrl":"10.1016/j.compind.2024.104187","url":null,"abstract":"<div><p>This research focuses on trading card quality inspection, where defects have a significant effect on both the quality inspection and grading. The present inspection procedure is subjective which means the grading is sensitive to mistakes made by individuals. To address this, a deep neural network based on transfer learning for automated defect detection is proposed with a particular emphasis on corner grading which is a crucial factor in overall card grading. This paper presents an extension of our prior study, in which we achieved an accuracy of 78% by employing the VGG-net and InceptionV3 models. In this study, our emphasis is on the DenseNet model where convolutional layers are used to extract features and regularisation methods including batch normalisation and spatial dropout are incorporated for better defect classification. Our approach outperformed prior findings, as evidenced by experimental results based on a real dataset provided by our industry partner, achieving an 83% mean accuracy in defect classification. Additionally, this study investigates various calibration approaches to fine-tune the model confidence. To make the model more reliable, a rule-based approach is incorporated to classify defects based on confidence scores. Finally, a human-in-the-loop system is integrated to inspect the misclassified samples. Our results demonstrate that the model’s performance and confidence are expected to improve further when a large number of misclassified samples, along with human feedback, are used to retrain the network.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104187"},"PeriodicalIF":8.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0166361524001155/pdfft?md5=94620ae9f7ac6add13e46e3c2ecef436&pid=1-s2.0-S0166361524001155-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-granularity spatiotemporal object modelling of waterborne traffic elements 水上交通要素的多粒度时空对象建模

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-17 DOI: 10.1016/j.compind.2024.104185

Xiaodong Cheng , Yuanqiao Wen , Zhongyi Sui , Liang Huang , He Lin

{"title":"Multi-granularity spatiotemporal object modelling of waterborne traffic elements","authors":"Xiaodong Cheng , Yuanqiao Wen , Zhongyi Sui , Liang Huang , He Lin","doi":"10.1016/j.compind.2024.104185","DOIUrl":"10.1016/j.compind.2024.104185","url":null,"abstract":"<div><p>The electronic navigational charts are crucial carriers for representing the multi-source heterogeneous data of Waterborne Traffic Elements (WTEs). However, their layer-based modelling method has some shortcomings in expressing the multi-granularity features, complex relationships, and dynamic evolution of elements. This paper proposes an objectification modelling method for WTEs based on the concept of multi-granularity spatiotemporal object modelling. A classification system for waterborne traffic objects is developed based on the relevance of behavior to elements; combining characteristics of waterborne traffic, a data model for waterborne traffic objects is constructed from eight aspects: spatiotemporal reference, spatiotemporal position, spatial form, basic information, attributes, behavioral ability, structure, and associative relationships. An object extraction function is also established, extracting object attributes and relationships between objects according to different element classes. Taking the Jiashan section of the Hangzhou-Shanghai Line in Zhejiang Province as the experimental subject, the multi-granularity spatiotemporal characteristics, dynamic evolution, and relationship expression of channel class objects are tested. The experimental results show that the proposed method provides the theoretical basis and data organization mode for the multi-granularity expression of WTEs.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104185"},"PeriodicalIF":8.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decomposing maintenance actions into sub-tasks using natural language processing: A case study in an Italian automotive company 利用自然语言处理将维护行动分解为子任务：意大利一家汽车公司的案例研究

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-17 DOI: 10.1016/j.compind.2024.104186

Vito Giordano , Gualtiero Fantoni

{"title":"Decomposing maintenance actions into sub-tasks using natural language processing: A case study in an Italian automotive company","authors":"Vito Giordano , Gualtiero Fantoni","doi":"10.1016/j.compind.2024.104186","DOIUrl":"10.1016/j.compind.2024.104186","url":null,"abstract":"<div><p>Industry 4.0 has led to a huge increase in data coming from machine maintenance. At the same time, advances in Natural Language Processing (NLP) and Large Language Models provide new ways to analyse this data. In our research, we use NLP to analyse maintenance work orders, and specifically the descriptions of failures and the corresponding repair actions. Many NLP studies have focused on failure descriptions for categorising them, extracting specific information about failure, or supporting failure analysis methodologies (such as FMEA). Whereas, the analysis of repair actions and its relationship with failure remains underexplored. Addressing this gap, our study makes three significant contributions. Firstly, we focused on the Italian language, which presents additional challenges due to the dominance of NLP systems that are mainly designed for English. Secondly, it proposes a method for automatically subdividing a repair action into a set of sub-tasks. Lastly, it introduces an approach that employs association rule mining to recommend sub-tasks to maintainers when addressing failures. We tested our approach with a case study from an automotive company in Italy. The case study provides insights into the current barriers faced by NLP applications in maintenance, offering a glimpse into the future opportunities for smart maintenance systems.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104186"},"PeriodicalIF":8.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0166361524001143/pdfft?md5=60b4c04fc51db998076996dc8ccd709b&pid=1-s2.0-S0166361524001143-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FedCPG: A class prototype guided personalized lightweight federated learning framework for cross-factory fault detection FedCPG：用于跨工厂故障检测的类原型引导的个性化轻量级联合学习框架

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-16 DOI: 10.1016/j.compind.2024.104180

Haodong Li , Xingwei Wang , Peng Cao , Ying Li , Bo Yi , Min Huang

{"title":"FedCPG: A class prototype guided personalized lightweight federated learning framework for cross-factory fault detection","authors":"Haodong Li , Xingwei Wang , Peng Cao , Ying Li , Bo Yi , Min Huang","doi":"10.1016/j.compind.2024.104180","DOIUrl":"10.1016/j.compind.2024.104180","url":null,"abstract":"<div><p>Industrial equipment condition monitoring and fault detection are crucial to ensure the reliability of industrial production. Recently, data-driven fault detection methods have achieved significant success, but they all face challenges due to data fragmentation and limited fault detection capabilities. Although centralized data collection can improve detection accuracy, the conflicting interests brought by data privacy issues make data sharing between different devices impractical, thus forming the problem of industrial data silos. To address these challenges, this paper proposes a class prototype guided personalized lightweight federated learning framework(FedCPG). This framework decouples the local network, only uploading the backbone model to the server for model aggregation, while employing the head model for local personalized updates, thereby achieving efficient model aggregation. Furthermore, the framework incorporates prototype constraints to steer the local personalized update process, mitigating the effects of data heterogeneity. Finally, a lightweight feature extraction network is designed to reduce communication overhead. Multiple complex industrial data distribution scenarios were simulated on two benchmark industrial datasets. Extensive experiments have demonstrated that FedCPG can achieve an average detection accuracy of 95% in complex industrial scenarios, while simultaneously reducing memory usage and the number of parameters by 82%, surpassing existing methods in most average metrics. These findings offer novel perspectives on the application of personalized federated learning in industrial fault detection.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104180"},"PeriodicalIF":8.2,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A technical patent map construction method and system based on multi-dimensional technical feature extraction 一种基于多维技术特征提取的技术专利地图构建方法和系统

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-12 DOI: 10.1016/j.compind.2024.104167

Chuanxiao Li , Wenqiang Li , Hai Xiang , Yida Hong

{"title":"A technical patent map construction method and system based on multi-dimensional technical feature extraction","authors":"Chuanxiao Li , Wenqiang Li , Hai Xiang , Yida Hong","doi":"10.1016/j.compind.2024.104167","DOIUrl":"10.1016/j.compind.2024.104167","url":null,"abstract":"<div><p>A patent map is widely used in the field of technical information mining, which can support tasks such as detecting patent vacuums and predicting technical trends. However, existing patent map construction methods have the limitations of insufficient intelligence and accuracy in mining patent technical features, which leads to failure to effectively complete the above tasks. To address these limitations, this paper proposes a patent map construction method based on multi-dimensional technical feature mining that mainly includes the following three stages. First, on the basis of the dependency parsing technology, the technical features contained in patents are fully mined in the form of triplets from three dimensions: function, behaviour and structure. Second, on the basis of Wordnet, the original triplets in three dimensions are standardised for different task scenarios. Finally, on the basis of the standard triplets, the patent map can be constructed to detect patent vacuums and support design tasks. In addition, a prototype system is developed based on the proposed method, and the effectiveness and practicability of the method and system are verified using a 3D printer as an engineering example.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104167"},"PeriodicalIF":8.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual warehousing through digitalized inventory and on-demand manufacturing: A case study 通过数字化库存和按需制造实现虚拟仓储：案例研究

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2024-09-11 DOI: 10.1016/j.compind.2024.104184

Elham Sharifi , Atanu Chaudhuri , Saeed D. Farahani , Lasse G. Staal , Brian Vejrum Waehrens

{"title":"Virtual warehousing through digitalized inventory and on-demand manufacturing: A case study","authors":"Elham Sharifi , Atanu Chaudhuri , Saeed D. Farahani , Lasse G. Staal , Brian Vejrum Waehrens","doi":"10.1016/j.compind.2024.104184","DOIUrl":"10.1016/j.compind.2024.104184","url":null,"abstract":"<div><p>Novel digital on-demand manufacturing technologies provide a significant opportunity to support development of virtual warehousing and in turn improve supply chain performance. However, the implementation of virtual warehouse comes with a set of challenges, especially where the objective is to virtually warehouse standard or legacy parts that have been developed and verified initially for conventional (non-digital) manufacturing. In this paper, we explore the key elements required for successful implementation of a virtual warehouse for legacy parts based on a combination of part digitalization, on-demand manufacturing, and part validation. Our proposed framework for adoption of virtual warehouse includes development of a digital inventory which includes supply chain and manufacturability data, identification, and selection of suitable parts for on-demand manufacturing, selection of on-demand manufacturing technology, fit-for-purpose validation of the parts. Our framework is exemplified through a case study, and we conclude that the building of an effective virtual warehouse requires several enablers, including availability of digital data about technical and supply chain characteristics of parts, but also a suitable part identification tool. This part identification tool needs to be flexible to include comparison with reference parts already produced by different on-demand manufacturing technologies.</p></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"164 ","pages":"Article 104184"},"PeriodicalIF":8.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S016636152400112X/pdfft?md5=60389a1452533dbdc2dab1d2bedbd96f&pid=1-s2.0-S016636152400112X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0