RE-manufaCturing and Refurbishment LArge Industrial equipMent

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

"RECLAIM Use Cases Definition &Operational Requirements #2"

Contains in details the use cases using also respective UML diagrams and operational fieldrelated requirements in the second version including updates in use cases additions andor revisions and further finetune of operational needs

Machinery Operation Profiling

Contains a full description on the operational information that can be collected from the machinery by RECLAIM framework Includes healthindex performance and production indices Initial version at M8 includes the specifications for all machinery that will be supported for the industrial pilots foreseen in RECLAIM

Standardization and Regulation Activities

Contains a list of recommendations for use of standards by RECLAIM framework as well as a technical report for potential contributions to ongoing standards related to RECLAIM framework

"RECLAIM Use Cases Definition &Operational Requirements #3"

Contains in details the use cases using also respective UML diagrams and operational fieldrelated requirements in the final version including updates in use cases additions andor revisions and further finetune of operational needs

"Lessons Learned and updated requirements report #2"

Contains an updated version of lessons learned from the design phases of the RECLAIM framework and how the requirements have been evolved in due time Linked with WP2 and T24 activities

"Lessons Learned and updated requirements report #3"

Contains the final version of lessons learned from the design phases of the RECLAIM framework and how the requirements have been evolved in due time Linked with WP2 and T24 activities

Roadmap for scale-up, uptake and replication

Contains feedback from industrial stakeholders for RECLAIM technology Includes the questionnaires created as well as relevant conclusions and roadmap for RECLAIM results sustainability

Communication and Dissemination Master Plan

Contains the detailed communication and dissemination strategy including material designed Updated version M19 will include revisions if any in the strategy for the remaining lifetime of the project

"The RECLAIM architecture specification #2"

Provides the finalised architectural viewpoints of RECLAIM framework conceptual communication deployment development etc include detailed UML sequence diagrams context diagrams for all core architectural elements

"Regulatory & Ethical Helpdesk Report #2"

Contains regulatory and ethical issues related to project activities that shall be taken into account during project activities in the final version

New business models within the Circular Economy

Credible business models description fully linked with Circular Economy concepts and scenarios

RECLAIM Information Model

Contains the holistic life-cycle set of information models that will be used as part of the RECLAIM framework to support refurbishment & re-manufacturing scenarios.Final version (at M24) will include models also for reliability analysis.

Environmental Life Cycle Assessment

Contains methodology and results from the LCA analysis for each RECLAIM industrial business scenario

Clustering and networking activities

Contains in details the clustering networking actions performed by RECLAIM consortium during its project lifetime Linked with T91 planning

"The RECLAIM architecture specification #3"

Circular Economy-driven lifetime-extension strategies

The report will provide in details different strategies to support Circular Economy to the machinery value chain. It will also deliver a concrete methodology that can be applied to other relevant industrial environments.

"Regulatory & Ethical Helpdesk Report #1"

Contains regulatory and ethical issues related to project activities that shall be taken into account during project activities in a first version

Evaluation According to Specification

Contains a thorough evaluation of the delivered RECLAIM framework against WP2 requirements and stakeholders Industry Solution Providers needs First version M24 will include initial findings from the industrial presentation feedback sessions

RECLAIM solutions Cost-Benefit Analysis (CBA) & CEA

Based on Industrial scenarios of RECLAIM willingness to have and willingness to pay results from Demonstrators in WP6 will be reported

Report on Communication and Dissemination Activities

Contains in details activities performed for raising awareness of wider public and relevant stakeholders

"RECLAIM Reliability analysis tool #3"

Contains the final version of the tool supporting the characterisation of production systems acquisition of machines failure data and calculation of reliability metrics

Pilot evaluation and lessons Learnt

Contains in depth evaluation from user perspective of the RECLAIM components and overall Evaluation will include concrete KPIs whereas questionnaires will be used to conclude with lessons learnt from the execution of the RECLAIM framework in industrial manufacturing lines

"RECLAIM Use Cases Definition &Operational Requirements #1"

Contains in details the use cases (using also respective UML diagrams) and operational (field-related) requirements in a first version. Next versions (M18, M30) will provision updates in use cases (additions and/or revisions) and further fine-tune of operational needs.

"Initial requirements specification #2"

The document will contain updated highlevel requirements based on enduser needs and questionnaires and specifications for the RECLAIM framework Linked with Tasks 21 and T22

Compliance with GDPR and international standards for data

Report outlining the concrete actions undertaken by the partners as well as integrated into RECLAIM framework for complying with privacy security and other safety issues in the RECLAIM Industrial environments

Initial requirements specification

The document will contain only high-level requirements (based on end-user needs and questionnaires) and specifications for the RECLAIM framework. Linked with Tasks 2.1 and T2.2.

"Lessons Learned and updated requirements report #1"

Contains mainly lessons learned from the design phases of the RECLAIM framework and how the requirements have been evolved in due time. Linked with WP2 and T2.4 activities.

The RECLAIM architecture specification

Provide in details the architectural viewpoints of RECLAIM framework (conceptual, communication, deployment, development, etc.), include detailed UML sequence diagrams, context diagrams for all core architectural elements. Revised version is anticipated by M24.

Planning & Preparation for Integration and Deployment

Contains the full details for the planning of the Demonstrators the Evaluation Plan and Framework including integration deployment issues for each Demonstration shop floor

"Initial requirements specification #3"

The document will contain finalised highlevel requirements based on enduser needs and questionnaires and specifications for the RECLAIM framework Linked with Tasks 21 and T22

Inference of refurbishment and re-manufacturing plan

Contains in details the plans to support RECLAIM strategies for refurbishment remanufacturing

"RECLAIM Reliability analysis tool #2"

Contains the updated version of the tool supporting the characterisation of production systems acquisition of machines failure data and calculation of reliability metrics

Introduction Video

Contains the first release of the RECLAIM video for the wider public, including material used for its production.

Website and Social Media Channels

Full presentation of the web site content, its sections and technology used, as well as the social media accounts promoted by RECLAIM.

AR-enabled multimodal interaction mechanisms

Describes the key components and methods implemented for the AR engine of RECLAIM framework.

Machinery-specific safety & risk assessment on Refurbishment and Re-use parts

Contains the techniques employed for assessing safety & risks related to refurbished & re-used parts in the industrial environments foreseen in RECLAIM. First version (M24) will include only the assessment techniques that will be used.

"Data Management Plan #1"

Contains information for the data models and other information that will constitute the Open Data Repository of the project in a first version.

"Data Management Plan #2"

Contains information for the data models and other information that will constitute the Open Data Repository of the project in the final version

Publicaciones

Meta-Learning Guided Few-Shot Learning Method for Gearbox Fault Diagnosis Under Limited Data Conditions

Autores: Ming Zhang; Duo Wang; Yuchun Xu;
Publicado en: Proceedings of IncoME-VI and TEPEN 2021. Mechanisms and Machine Science, 2022
Editor: Springer
DOI: 10.1007/978-3-030-99075-6_40

Application of Machine Learning Algorithms in Cold-Rolled Strip Steel Surface Defect Grading Systems

Autores: Tianlun Li; Anrui He; Lingzhi Kong; Ming Zhang; Chao Liu; Xianghong Ma; Yuchun Xu
Publicado en: 2023 28th International Conference on Automation and Computing (ICAC), 2023
Editor: IEEE
DOI: 10.1109/icac57885.2023.10275297

First results on polyvinylidene fluoride film-based sensors for fault detection in leather and rubber membranes used in footwear manufacturing

Autores: Eduardo Hernando; Irene Pérez-Alfaro; Daniel Gil-Hernandez; Jesús López de Ipiña; Alfonso Pascual Martínez; Saúl Iñiguez Macedo; Antonio Saenz Martinez-Losa
Publicado en: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023
Editor: IEEE
DOI: 10.1109/iceccme57830.2023.10252273

Review of The Optimization Algorithms for Remanufacturing Disassembly Line

Autores: Youxi Hu; Yuchun Xu; Yu Jia;
Publicado en: 2021 26th International Conference on Automation and Computing (ICAC), 2021
Editor: IEEE
DOI: 10.23919/icac50006.2021.9594072

Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture

Autores: Qianxia Ma; Ming Zhang; Yuchun Xu; Jingyan Song; Tao Zhang;
Publicado en: 2021 26th International Conference on Automation and Computing (ICAC), 2021
Editor: IEEE
DOI: 10.23919/icac50006.2021.9594150

AI environment for predictive maintenance in a manufacturing scenario

Autores: Rosaria Rossini; Gianluca Prato; Davide Conzon; Claudio Pastrone; Eliseu Pereira; João Reis; Gil Gonçalves; David Henriques; Ana Rita Santiago; António Ferreira
Publicado en: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 2021
Editor: IEEE
DOI: 10.1109/etfa45728.2021.9613359

Weighted Multi-Element Synthetic Aperture Focusing Technique Algorithm of Ultrasonic Non-Destructive Testing on Machinery

Autores: Wang,Zezhong; Ma,Xianghong; Xu,Yuchun;
Publicado en: 2021 26th International Conference on Automation and Computing (ICAC), 2021
Editor: IEEE
DOI: 10.23919/icac50006.2021.9594115

Development of a Robotic Arm Control Platform for Ultrasonic Testing Inspection in Remanufacturing

Autores: Zezhong Wang; Ming Zhang; Yuchun Xu;
Publicado en: 2022 27th International Conference on Automation and Computing (ICAC), 2022
Editor: IEEE
DOI: 10.1109/icac55051.2022.9911174

A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing

Autores: Youxi Hu; Ming Zhang; Chao Liu; Yuchun Xu; Zezhong Wang; Yu Jia;
Publicado en: 2022 27th International Conference on Automation and Computing (ICAC), 2022
Editor: IEEE
DOI: 10.1109/icac55051.2022.9911097

Life Cycle Assessment tool for environmental characterization of manufacturing companies: a methodological guidance

Autores: Rossi, Ludovica; Menato, Silvia; Leone, Deborah; Landolfi, Giuseppe; Fontana, Alessandro; Sorlini, Marzio; Canetta, Luca
Publicado en: IEEE ICE Conference 2023, 2023
Editor: IEEE
DOI: 10.1109/ice/itmc58018.2023.10332269

Lean 4.0: A Digital Twin approach for automated cycle time collection and Yamazumi analysis

Autores: João Pinheiro; Rui Pinto; Gil Gonçalves; Anabela Ribeiro
Publicado en: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023
Editor: IEEE
DOI: 10.1109/iceccme57830.2023.10253311

A Multi-Class Intrusion Detection System Based on Continual Learning

Autores: Oikonomou, Chrysoula; Iliopoulos, Ilias; Ioannidis, Dimosthenis; Tzovaras, Dimitrios
Publicado en: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023
Editor: IEEE
DOI: 10.1109/csr57506.2023.10224974

Towards Smart Remanufacturing and Maintenance of Machinery - Review of Automated Inspection, Condition Monitoring and Production Optimisation

Autores: Zezhong Wang, Yuchun Xu, Xianghong Ma, Gareth Thomson
Publicado en: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, Página(s) 1731-1738, ISBN 978-1-7281-8956-7
Editor: IEEE
DOI: 10.1109/etfa46521.2020.9212110

A Conceptual Framework of Cyber-Physical Remanufacturing System

Autores: Youxi Hu; Chao Liu; Ming Zhang; Yu Jia; Yuchun Xu
Publicado en: 2022 8th International Conference on Nanomanufacturing & 4th AET Symposium on ACSM and Digital Manufacturing (Nanoman-AETS), 2023
Editor: IEEE
DOI: 10.1109/nanoman-aets56035.2022.10119511

Feature Extraction and Failure Detection Pipeline Applied to Log-based and Production Data

Autores: Rosaria Rossini; Nicolo Bertozzi; Eliseu Pereira; Claudio Pastrone; Gil Gonçalves;
Publicado en: 11th International Conference on Data Science, Technology and Applications, 2022
Editor: Scitepress
DOI: 10.5220/0011268700003269

An Ontology-Based Product Modelling Method for Smart Remanufacturing

Autores: Youxi Hu; Chao Liu; Ming Zhang; Yuqian Lu; Yu Jia; Yuchun Xu
Publicado en: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023
Editor: IEEE
DOI: 10.1109/case56687.2023.10260547

Study of mass effect in electromechanical modelling of piezoelectric energy harvesters.

Autores: Irene Pérez-Alfaro; Eduardo Hernando; Daniel Gil-Hernandez; Carmen Carrascal-Carranza; Fernando Quero; Carlos Bernal
Publicado en: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023
Editor: IEEE
DOI: 10.1109/iceccme57830.2023.10252722

A Systematic Review on Life Extension Strategies in Industry: The Case of Remanufacturing and Refurbishment

Autores: Carlos Ferreira; Gil Gonçalves;
Publicado en: Electronics, 2021, ISSN 2079-9292
Editor: MDPI
DOI: 10.3390/electronics10212669

Digital-Twin Enabled Online Remaining Useful Life Prediction of PEM Fuel Cell

Autores: Ming Zhang; Tabbi Awotwe; Chao Liu; Amirpiran Amiri; Yuchun Xu
Publicado en: 2023 28th International Conference on Automation and Computing (ICAC), 2023
Editor: IEEE
DOI: 10.1109/icac57885.2023.10275304

REPLICA: A Solution for Next Generation IoT and Digital Twin Based Fault Diagnosis and Predictive Maintenance

Autores: Rosaria Rossini; Davide Conzon; Gianluca Prato; Claudio Pastrone; João Reis; Gil Gonçalves
Publicado en: Eclipse SAM IoT Conference (2020), 2020
Editor: CEUR-WS
DOI: 10.5281/zenodo.4668593

A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation

Autores: Vafeiadis, Thanasis; Kolokas, Nikolaos; Dimitriou, Nikolaos; Zacharaki, Angeliki; Yildirim, Murat; Selvi, Habibe Gülben; Ioannidis, Dimosthenis; Tzovaras, Dimitrios;
Publicado en: Simulation Modelling Practice and Theory, 2022, ISSN 1569-190X
Editor: Elsevier BV
DOI: 10.1016/j.simpat.2021.102400

Deep multi-sensorial data analysis for production monitoring in hard metal industry

Autores: Thanasis Kotsiopoulos, Lampros Leontaris, Nikolaos Dimitriou, Dimosthenis Ioannidis, Filipe Oliveira, Joaquim Sacramento, Stamatis Amanatiadis, Georgios Karagiannis, Konstantinos Votis, Dimitrios Tzovaras, Panagiotis Sarigiannidis
Publicado en: The International Journal of Advanced Manufacturing Technology, 2020, ISSN 0268-3768
Editor: Springer Verlag
DOI: 10.1007/s00170-020-06173-1

A Novel Deep Model with Meta-learning for Rolling Bearing Few-shot Fault Diagnosis

Autores: Xiaoxia Liang, Ming Zhang, Guojin Feng, Yuchun Xu, Dong Zhen, Fengshou Gu
Publicado en: Journal of Dynamics, Monitoring and Diagnostics, 2023
Editor: ISTP
DOI: 10.37965/jdmd.2023.164

Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes

Autores: Irene Perez-Alfaro, Daniel Gil-Hernandez, Oscar Muñoz-Navascues, Jesus Casbas-Gimenez, Juan Carlos Sanchez-Catalan, Nieves Murillo
Publicado en: Sensors, Edición 20/5, 2020, Página(s) 1471, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20051471

A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing

Autores: Youxi Hu, Chao Liu, Ming Zhang , Yu Jia, Yuchun Xu
Publicado en: Sensors, 2023, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23031652

A New Implementation of Digital Twins for Fault Diagnosis of Large Industrial Equipment

Autores: Ming Zhang; Nasser Amaitik; Yuchun Xu; Rosaria Rossini; Ilaria Bosi; Ariel Pablo Cedola;
Publicado en: Journal of Robotics and Mechanical Engineering Research, 2021
Editor: -
DOI: 10.5281/zenodo.5651182

Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels

Autores: Ming Zhang, Vikas Sharma, Zezhong Wang, Yu Jia, Abul Kalam Hossain, and Yuchun Xu
Publicado en: International Journal of Automotive Manufacturing and Materials. 2023, 2023
Editor: Scilight
DOI: 10.53941/ijamm.2023.100001

RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment

Autores: Angeliki Zacharaki, Thanasis Vafeiadis, Nikolaos Kolokas, Aikaterini Vaxevani, Yuchun Xu, Michael Peschl, Dimosthenis Ioannidis, Dimitrios Tzovaras
Publicado en: Frontiers in Artificial Intelligence, Edición 3, 2021, ISSN 2624-8212
Editor: Frontiers
DOI: 10.3389/frai.2020.570562

DSF Core: Integrated Decision Support for Optimal Scheduling of Lifetime Extension Strategies for Industrial Equipment

Autores: Kolokas, Nikolaos; Ioannidis, Dimosthenis; Tzovaras, Dimitrios
Publicado en: Sensors, 2023, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23031332

Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization

Autores: Ming Zhang; Yang Lu; Youxi Hu; Nasser Amaitik; Yuchun Xu;
Publicado en: Sustainability, 2022, ISSN 2071-1050
Editor: MDPI Open Access Publishing
DOI: 10.3390/su14095177

Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction

Autores: Ming Zhang; Nasser Amaitik; Zezhong Wang; Yuchun Xu; Alexander Maisuradze; Michael Peschl; Dimitrios Tzovaras;
Publicado en: Applied Sciences, 2022, ISSN 2076-3417
Editor: MDPI
DOI: 10.3390/app12073218

Towards Bio-Inspired Anomaly Detection Using the Cursory Dendritic Cell Algorithm

Autores: Carlos Pinto; Rui Pinto; Gil Gonçalves;
Publicado en: Algorithms, 2022, ISSN 1999-4893
Editor: MDPI Open Access Publishing
DOI: 10.3390/a15010001

Assessing the Sustainability of Industrial Equipment Life Extension Strategies through a Life Cycle Approach: Methodology and Practical Guidelines

Autores: Ludovica Rossi; Deborah Leone; Andrea Barni; Alessandro Fontana
Publicado en: Processes 2022, 2022, ISSN 2227-9717
Editor: MDPI
DOI: 10.3390/pr10020203

Developing a Circular Business Model for Machinery Life Cycle Extension by Exploiting Tools for Digitalization

Autores: Federica Cappelletti; Silvia Menato
Publicado en: Sustainability, Edición 15(21), 2023, ISSN 2071-1050
Editor: MDPI Open Access Publishing
DOI: 10.3390/su152115500

Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing

Autores: Nasser Amaitik; Ming Zhang; Zezhong Wang; Yuchun Xu; Gareth Thomson; Yiyong Xiao; Nikolaos Kolokas; Alexander Maisuradze; Oscar Garcia; Michael Peschl; Dimitrios Tzovaras;
Publicado en: Circular Economy and Sustainability, 2022, ISSN 2730-5988
Editor: Springer
DOI: 10.1007/s43615-022-00154-0

A Distributional Perspective on Remaining Useful Life Prediction With Deep Learning and Quantile Regression

Autores: Ming Zhang; Duo Wang; Nasser Amaitik; Yuchun Xu
Publicado en: IEEE Open Journal of Instrumentation and Measurement, Edición 27, 2022, ISSN 2768-7236
Editor: IEEE
DOI: 10.1109/ojim.2022.3205649

Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review

Autores: Alessandro Fontana, Andrea Barni, Deborah Leone, Maurizio Spirito, Agata Tringale, Matteo Ferraris, Joao Reis, Gil Goncalves
Publicado en: Sustainability, Edición 13/3, 2021, Página(s) 1117, ISSN 2071-1050
Editor: MDPI Open Access Publishing
DOI: 10.3390/su13031117

Towards sustainable manufacturing by enabling optimum selection of life extension strategy for industrial equipment based on cost modelling

Autores: Nasser Amaitik, Ming Zhang, Yuchun Xu, Gareth Thomson, Nikolaos Kolokas, Alexander Maisuradze, Michael Peschl, Dimitrios Tzovaras
Publicado en: Journal of Remanufacturing, 2023
Editor: Springer Link
DOI: 10.1007/s13243-023-00129-w

Remanufacturing and Refurbishment of Large Industrial Equipment

Autores: Ming Zhang; Yuchun Xu;
Publicado en: 2020
Editor: -
DOI: 10.5281/zenodo.5651191

Dynamic Scheduling Method for Job-shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization

Autores: Ming Zhang; Yang Lu; Chao Liu; Yuchun Xu
Publicado en: 2022
Editor: zenodo
DOI: 10.6084/m9.figshare.19802182.v1

De-manufacturing method and tool: the link between design and circular business models

Autores: Cappelletti Federica
Publicado en: 2023, Università Politecnica delle Marche, 2023
Editor: -

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