Filters








1,196 Hits in 7.6 sec

Scaling ML Analytics with Knowledge Graphs: A BoschWelding Case

Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetachova, Gong Cheng, Evgeny Kharlamov
2021 Zenodo  
Analytics of these data with machine learning (ML) can help to ensure high quality of welding operations.  ...  Automated welding is heavily used in automotive industry to produce car bodies by connecting metal parts with welding spots.  ...  In this work we address these challenges by relying on knowledge graphs (KG) that provide an efficient foundation for quality monitoring applications like machine learning analysis.  ... 
doi:10.5281/zenodo.6797514 fatcat:qjbiduvj2bbjhetervtcq5hlii

SemML: Facilitating Development of ML Models for Condition Monitoring with Semantics

Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
2021 Social Science Research Network  
We demonstrate the benefits of SemML on a Bosch use-case of electric resistance welding with very promising results.  ...  In the age of Industry 4.0, where the aim is a deep degree of production automation, unprecedented amounts of data are generated by equipment and processes, and this enables adoption of Machine Learning  ...  We are thankful to Tim Pychynski for insightful discussions.  ... 
doi:10.2139/ssrn.3945440 fatcat:yggv3elqovfdrclvlosfg53qoe

SemML: Reusable ML Models for Condition Monitoring in Discrete Manufacturing

Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov
2020 International Semantic Web Conference  
In this demo we present our SemML system that addresses these challenges by enhancing machine learning with semantic technologies: by capturing domain and ML knowledge in ontologies and ontology templates  ...  Machine learning (ML) is gaining much attention for data analysis in manufacturing. Despite the success, there is still a number of challenges in widening the scope of ML adoption.  ...  : resistance spot welding (RSW) and hot-staking (HS).  ... 
dblp:conf/semweb/SvetashovaZSPK20 fatcat:psekm25bozcdxe6qmt2ffa3o7q

Engineering Applications of Intelligent Monitoring and Control

Qingsong Xu, Pak-Kin Wong, Chengjin Zhang, Shane Xie, Ping-Lang Yen
2013 Mathematical Problems in Engineering  
Online monitoring of instantaneous resistance variation during the A.C. resistance spot welding is of paramount importance for the weld quality control.  ...  A DSP-based resistance spot welding monitoring system is developed to perform ANN computation.  ...  Acknowledgment We would like to express our heartfelt thanks to all the authors who submitted their papers and all the reviewers who helped improving the papers for this special issue.  ... 
doi:10.1155/2013/564021 fatcat:vlr6bt34hrbo5nfjiax27zrsx4

An Incremental Grey-Box Current Regression Model for Anomaly Detection of Resistance Mash Seam Welding in Steel Mills

Dieter De Paepe, Andy Van Yperen-De Deyne, Jan Defever, Sofie Van Hoecke
2022 Applied Sciences  
We combine knowledge-based and data-driven techniques to create an incremental grey-box welding current prediction model for detecting anomalous welds, resulting in a powerful and interpretable model.  ...  Grey-box modeling can be applied to other welding features or domains and results in models that are more desirable for the industry.  ...  Ma et al. present a review on the advantages and limitations of various weld quality monitoring techniques for spot welding [2] .  ... 
doi:10.3390/app12020913 fatcat:f2bfitojmzeulkoed6ncrgn2wq

A CPS platform oriented for Quality Assessment in welding

Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Kyriakos Sampatakakis, G. Mansour, D. Tzetzis, P. Kyratsis
2020 MATEC Web of Conferences  
Imaging data are pre – processed in real-time and streamed into a module which utilizes Machine Learning algorithms to perform quality assessment.  ...  In this paper, a Robust Software Platform oriented for a CPS-based Quality Assessment system for Welding is presented based on data derived from IR cameras.  ...  control [7] , machine state monitoring and user communication, in a non-unified way and with limited actual results in Laser Welding (LW) and Resistance Spot Welding (RSW).  ... 
doi:10.1051/matecconf/202031801030 fatcat:sygluwmlczbtxe6dfxi54uxquy

Implementation Criteria for Intelligent Systems in Motor Production Line Process Management

Yao-Chin Lin, Ching-Chuan Yeh, Wei-Hung Chen, Kai-Yen Hsu
2020 Processes  
These suggestions can be provided as a reference for production lines that acquaint with intelligent systems.  ...  In the implementation criteria of the intelligent system in the process management of the motor production line, this study provides some suggestions (to coil and motor assembly line) for the production  ...  The use of machine learning can predict the quality of weld processing based on machine parameters.  ... 
doi:10.3390/pr8050537 fatcat:zrw732k7orahdaegfyy47labxu

D2.7 Key performance indicators selection and definition - final version

Susanna Bonura, Davide Dalle Carbonare
2020 Zenodo  
This task will therefore provide to the validation work package (WP7) with the expected outcomes, which shall be compared with the real results of the validation activities in order to assess the success  ...  the Smart Manufacturing and Health pilots setup and execution, together with the evaluation of the KPIs, will be reported in order to assess the usage of the MUSKETEER platform.  ...  Machine Learning to Augment Shared Knowledge in Federated Privacy-Preserving Scenarios (MUSKETEER) G3.3_Q03 Data quality impacts on Machine Learning results. How is data quality controlled?  ... 
doi:10.5281/zenodo.5845684 fatcat:zedfi6jdibgptbherd6rp2abte

Towards Trusted and Intelligent Cyber-Physical Systems: A Security-by-Design Approach [article]

Sabah Suhail, Raja Jurdak
2022 arXiv   pre-print
Following a hybrid approach, the proposed framework not only acquires process knowledge from the specifications of the CPS, but also relies on AI to learn security threats based on sensor data.  ...  However, existing DTs solutions in CPS are constrained with untrustworthy data dissemination among multiple stakeholders and timely course correction.  ...  Thus, TI can provide additional support for DTs to secure CPSs. Furthermore, the quality of the data matters at par with quantity for ensuring precise predictions and decision-making.  ... 
arXiv:2105.08886v3 fatcat:w7yyixz7qvgw5eaw3rjhoflol4

Adaptive Intelligent Welding Manufacturing

YUMING ZHANG, American Welding Society, QIYUE WANG, YUKANG LIU
2021 Welding Journal  
In many cases, the needed information for the weld quality and process variables of our concern is not easy to extract from the sensor's data.  ...  Analysis suggests that artificial intelligence and machine learning, especially deep learning, can help automate the learning such that the needed intelligence for robotic welding adaptation can be directly  ...  Many welding methods, including resistance spot welding, arc welding, laser welding, and stud welding, have been robotized, and the welding robots account for more than 50% in the industrial robot market  ... 
doi:10.29391/2021.100.006 fatcat:xnlf6iyt7fg2zphmxempj2p77e

Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning

Jihong Chen, Kai Zhang, Yuan Zhou, Yufei Liu, Lingfeng Li, Zheng Chen, Li Yin
2019 Sustainability  
The conclusions obtained in this paper is beneficial to different communities of machine tools, in terms of determining the research directions for researchers, identifying industry opportunities for corporations  ...  Machine tools are the basis of virtually everything that is manufactured in the industry, exploring the development of the machine tool domain is of considerable significance to identify the opportunity  ...  To the best of our knowledge, deep learning is the research frontier and hot spot of current AI.  ... 
doi:10.3390/su11123316 fatcat:i2sb6xsybbecxdau2qbima2bxq

Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction

Dragan Djurdjanovic, Jay Lee, Jun Ni
2003 Advanced Engineering Informatics  
In today's competitive market, production costs, lead time and optimal machine utilization are crucial values for companies.  ...  Since machine or process breakdowns severely limit their effectiveness, methods are needed to predict products' life expectancy.  ...  Acknowledgements This research is partially supported by the NSF I/UCRC for Intelligent Maintenance Systems (IMS) at the University of Wisconsin, Milwaukee and University of Michigan as well as by the  ... 
doi:10.1016/j.aei.2004.07.005 fatcat:5vjom7yfzncgdithjkypph5s7a

Attaining optimized A-TIG welding parameters for carbon steels by advanced parameter-less optimization techniques: with experimental validation

Jay J. Vora, Kumar Abhishek, Seshasai Srinivasan
2019 Journal of the Brazilian Society of Mechanical Sciences and Engineering  
The result of JAYA algorithm has also been compared with the teaching-learning-based optimization technique.  ...  The quality and shape of the weld in A-TIG are not only influenced by the chemical composition of the flux, but also by the selection of welding parameters.  ...  Lastly, the editors and reviewers for the paper are kindly acknowledged for their constructive comments which enhanced the quality of the research paper.  ... 
doi:10.1007/s40430-019-1765-0 fatcat:sjgbkc3vxzcfflu6rzphjoxeni

Metalcasting Industry Research

2020 International Journal of metalcasting  
Support of research is critical for North America to maintain a strong, vibrant, healthy and continually advancing metalcasting industry.  ...  In addition, AFS is involved in several research partnerships funded through government funding and industry contributions and other means.  ...  welds of the desired quality.  ... 
doi:10.1007/s40962-020-00523-1 fatcat:ff3juzelizaula5v72zb5ohqjy

Quality Assessment and Process Management of Welded Joints in Metal Construction—a Review

Pereira, de Melo
2020 Metals  
One purpose of this work is to show the necessary path for the implementation of a welding quality management system in metal construction, as well as to present the numerous applicable norms, both for  ...  Quality management in welded construction involves well-regulated procedures which are, however, so vast that they are of great complexity.  ...  These standards can be consulted in its entirety through the Portuguese Institute for Quality. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/met10010115 fatcat:w7rnbisppvccfopsvjimo4shn4
« Previous Showing results 1 — 15 out of 1,196 results