European training Network in intelligent prognostics and Health mAnagement in Composite structurEs

Informacje na temat projektu

ENHAnCE

Identyfikator umowy o grant: 859957

DOI

10.3030/859957

Projekt został zamknięty

Data podpisania przez KE 9 Sierpnia 2019

Data rozpoczęcia 1 Stycznia 2020

Data zakończenia 30 Czerwca 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 2 670 089,76

Wkład UE

€ 2 670 089,76

Koordynowany przez

UNIVERSIDAD DE GRANADA
Spain

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (17)

Supervisory Board of the network

Report of the kickoff meeting and supervisory board constitution of the network

Report on international press releases and TV documentary
Training overview and monitoring methodology

Report on training overview and monitoring methodology of the project

Lecture synthesis of TWs 1 to 6
End of Year 2 Summary Report & Perspective

End of Year 2 Summary Report Perspective

Papers submitted to top journals and popular websites

Report about papers submitted to top journals and popular websites

Potential inputs for policy feedback

Report on potential inputs for policy feedback (if applicable)

Progress Report

End of Year 1 Progress Report Perspective

Final Project Training Summary Report including results from Fellow Feedback Questionnaire
Lecture synthesis of TWs 7 to 11
PCDP plans

Report on Personal Career Development Plans

Minutes of Mid-term SB meeting and report about financial, legal and risk managements

Minutes of Midterm SB meeting and report about financial legal and risk managements

Planned recruitments completed

Report about ESR recruitment

End of Year 3 Summary Report & ENHAnCE achievements
Final SB meeting

Final SB meeting report

Open Meeting points and visits to local schools
Final Dissemination and Outreach Report

Demonstrators, pilots, prototypes (3)

Open Access tool for real-time collecting SHM measurement

Computational platform acting as open access tool for real-time collecting structural health monitoring measurement

Computing GW simulation tool and calibration to WP2

Computational platform (Open Access) for computing Lamb-wave simulation and interaction with typical damage cases.

Analytics O&M Platform (HAPMS) and results of O&M simulations

Computational platform to integrate prognostics and operational decision making using on-line data from sensors

Other (2)

Consortium Agreement
Evaluation Guidelines for ERS recruitment

Websites, patent fillings, videos etc. (1)

ENHAnCE Minisimposium, thesis contest and Showcase at JEC Paris

Publikacje

Peer reviewed articles (21)

Prediction of shape distortions in thermosetting composite parts using neural network interfaced visco-elastic constitutive model

Autorzy: Balaji, A., Sbarufatti, C., Dumas, D., Parmentier, A., Pierard, O., & Cadini, F.
Opublikowane w: Journal of Composite Materials, 2024, ISSN 0021-9983
Wydawca: SAGE Publications
DOI: 10.1177/00219983241235855

A general approach to assessing SHM reliability considering sensor failures based on information theory

Autorzy: Wen Wu, Sergio Cantero-Chinchilla, Darren Prescott, Rasa Remenyte-Prescott, Manuel Chiachío
Opublikowane w: Reliability Engineering & System Safety, Numer Volume 250, 110267, 2024, ISSN 0951-8320
Wydawca: Elsevier BV
DOI: 10.1016/j.ress.2024.110267

A cross‑sectoral review of the current and potential maintenance strategies for composite structures

Autorzy: Javier Contreras Lopez; Juan Chiachío; Ali Saleh; Manuel Chiachío; Athanasios Kolios
Opublikowane w: SN Applied Sciences, Numer 4, 2022, Strona(/y) 180, ISSN 2193-1801
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1007/s42452-022-05063-3

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

Autorzy: Morteza Moradi; Agnes Broer; Juan Chiachío; Rinze Benedictus; Theodoros H. Loutas; Dimitrios Zarouchas
Opublikowane w: urn:issn:0952-1976, Numer Volume 117, Part A, January 2023, 105502, 2023, Strona(/y) Volume 117, Part A, January 2023, 105502, ISSN 0952-1976
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105502

A Novel machine learning model to design historical-independent health indicators for composite structures.

Autorzy: Moradi, M., Gul, F. C., & Zarouchas, D.
Opublikowane w: Composites Part B: Engineering, Numer 111328, 2024, ISSN 1359-8368
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compositesb.2024.111328

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

Autorzy: Manuel Chiachío, Ali Saleh, Susannah Naybourc, Juan Chiachío, John Andrews
Opublikowane w: Reliability Engineering & System Safety, Numer 222, 2022, Strona(/y) 108365, ISSN 0951-8320
Wydawca: Elsevier BV
DOI: 10.1016/j.ress.2022.108365

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Autorzy: Juan Fernández, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera
Opublikowane w: Engineering Applications of Artificial Intelligence, Numer 107, 2022, Strona(/y) 104511, ISSN 0952-1976
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2021.104511

Intelligent and adaptive asset management model for railway sections using the ipn method.

Autorzy: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Opublikowane w: Reliability Engineering & System Safety, Numer Volume 241, 109687, 2024, ISSN 0951-8320
Wydawca: Elsevier BV
DOI: 10.1016/j.ress.2023.109687

Structural digital twin framework: Formulation and technology integration

Autorzy: Manuel Chiachío; María Megía; Juan Chiachío; Juan Fernandez; María L. Jalón
Opublikowane w: Automation in Construction, Numer 4, 2022, Strona(/y) Volume 140, August 2022, 104333, ISSN 0926-5805
Wydawca: Elsevier BV
DOI: 10.1016/j.autcon.2022.104333

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

Autorzy: Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, Manuel Chiachío
Opublikowane w: Computers in industry, Numer Volume 155, 104058, 2024, ISSN 0166-3615
Wydawca: Elsevier BV
DOI: 10.1016/j.compind.2023.104058

Particle filter-based delamination shape prediction in composites subjected to fatigue loading

Autorzy: Tianzhi Li, Francesco Cadini, Manuel Chiachío, Juan Chiachío, Claudio Sbarufatti
Opublikowane w: SAGE journals - Structural Health Monitoring, Numer August 2022, 2022, ISSN 1475-9217
Wydawca: SAGE Publications
DOI: 10.1177/14759217221116041

Particle filter-based damage prognosis by online feature fusion and selection.

Autorzy: Li, T., Chen, J., Yuan, S., Cadini, F., Sbarufatti, C.
Opublikowane w: Mechanical Systems and Signal Processing, 2023, Strona(/y) 203, 110713, ISSN 0888-3270
Wydawca: Academic Press
DOI: 10.1016/j.ymssp.2023.110713

Guided waves-based damage identification in plates through an inverse Bayesian process

Autorzy: W.Wu, M.K.Malik, S.Cantero-Chinchilla, T.Lawrie, J.Yan, G.Tanner, R.Remenyte-Prescott, D.Chronopoulos
Opublikowane w: Ultrasonics, Numer Volume 125, September 2022, 2022, Strona(/y) 106773, ISSN 0041-624X
Wydawca: Elsevier BV
DOI: 10.1016/j.ultras.2022.106773

Self-adaptative optimized maintenance of offshore wind turbines by intelligent Petri nets

Autorzy: Ali Saleh, Manuel Chiachío, Juan Fernández, Athanasios Kolios
Opublikowane w: Reliability Engineering&System Safety, Numer Volume 231, March 2023, 109013, 2023, Strona(/y) Volume 231, March 2023, 109013, ISSN 0951-8320
Wydawca: Elsevier BV
DOI: 10.1016/j.ress.2022.109013

Optimal computation of integrals in the Half-Space Matching method for modal simulation of SHM/NDE in 3D elastic plate

Autorzy: A. Allouko, A.-S. Bonnet-Ben Dhia, A. Lh´emery, V. Baronian
Opublikowane w: The Journal of Physics: Conference Series, 2024, ISSN 2267-828X
Wydawca: Hal Open Science
DOI: 10.1088/1742-6596/2768/1/012004

Particle filter-based prognostics for composite curing process.

Autorzy: Balaji, A., Dumas, D., Pierard, O., Sbarufatti, C., Cadini, F.
Opublikowane w: Polymer Composites, 2024, ISSN 1548-0569
Wydawca: Elsevier
DOI: 10.1002/pc.28677

Particle filter-based hybrid damage prognosis considering measurement bias

Autorzy: Tianzhi Li,Claudio Sbarufatti,Francesco Cadini,Jian Chen,Shenfang Yuan
Opublikowane w: Structural Control and Health Monitoring, Numer e2914 / 15 December 2021 /bimonthly, 2021, ISSN 1545-2263
Wydawca: John Wiley & Sons Ltd
DOI: 10.1002/stc.2914

Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete

Autorzy: Juan Fernández, Juan Chiachío, Manuel Chiachío
Opublikowane w: Engineering applications of Artificial Intelligence, Numer Volume 119, March 2023, 105790, 2023, Strona(/y) Volume 119, March 2023, 105790, ISSN 0952-1976
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2022.105790

Numerical simulation-aided particle filter-based damage prognosis using Lamb waves

Autorzy: Tianzhi Li; Luca Lomazzi; Francesco Cadini; Claudio Sbarufatti; Jian Chen; Shenfang Yuan
Opublikowane w: Mechanical Systems and Signal Processing, Numer 4, 2022, Strona(/y) Volume 178, 1 October 2022, 109326, ISSN 0888-3270
Wydawca: Academic Press
DOI: 10.1016/j.ymssp.2022.109326

Risk-based maintenance strategy selection for wind turbine composite blades

Autorzy: Javier Contreras Lopez, Athanasios Kolios
Opublikowane w: Energy Reports 8 (2002), Numer 8, 2022, Strona(/y) 5541-5561, ISSN 2352-4847
Wydawca: ELSEVIER
DOI: 10.1016/j.egyr.2022.04.027

A wind turbine blade leading edge rain erosion computational framework

Autorzy: Javier Contreras López; Athanasios Kolios; Lin Wang; Manuel Chiachio
Opublikowane w: Renewable Energy, Numer Volume 203, February 2023, Pages 131-141, 2023, Strona(/y) Pages 131-141, ISSN 0960-1481
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.renene.2022.12.050

Conference proceedings (10)

Optimized Petri net model for condition-based maintenance of a turbine blade.AUTHORS: A. Saleh, M. Chiachio, J. Chiachio.CONGRESS: World Congress on Engineering Asset Management, Springer, pp. 657–664. (2022). LINK: https://link.springer.com/chapter/10.1007/978-3-031-25448-2_61 Seville, Spain.

Autorzy: A. Saleh, M. Chiachio, J. Chiachio.
Opublikowane w: World Congress on Engineering Asset Management, Springer, pp. 657–664. (2022)., 2023
Wydawca: SpringerLink
DOI: 10.1007/978-3-031-25448-2_61

An optimized asset management petri net model for railway sections.

Autorzy: D. Prescott, R. Remenyte, M. Chiachio, A. Saleh.
Opublikowane w: The 9th Asia-Pacific Workshop on SHM, Workshop on SHM, 2023
Wydawca: The 9th Asia-Pacific Workshop on SHM
DOI: 10.21741/9781644902455-37

Interpretable Neural Network with Limited Weights for ConstructingSimple and Explainable HI using SHM Data

Autorzy: Morteza Moradi, Rinze Benedictus, Dimitrios Zarouchas
Opublikowane w: Proceedings of the Annual Conference of the PHM Society 2022, Numer Vol. 14 No. 1 (2022), 2022, Strona(/y) Vol. 14 No. 1 (2022)
Wydawca: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3185

Probabilistic safety assessment in composite materials using bnn by ABC-SS

Autorzy: Juan Fernández, Juan Chiachío, Manuel Chiachío, Ali Saleh
Opublikowane w: Proceedings of the Annual Conference of the PHM Society 2022, Numer Vol. 14 No. 1 (2022), 2022, Strona(/y) Vol. 14 No. 1 (2022)
Wydawca: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3275

An assessment of different reinforcement learning methods for creating a decision support system based on the Petri net model

Autorzy: Ali Saleh, Manuel Chiachío
Opublikowane w: Annual Conference of the PHM Society, 2002, Numer 14(1), 2022, Strona(/y) Vol. 14 No. 1 (2022): Proceedings of the Annual Conference of the PHM Society 2022
Wydawca: PHM Society
DOI: 10.36001/phmconf.2022.v14i1.3240

Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data.

Autorzy: Moradi, M., Chiachío, J., & Zarouchas, D. CONGRESS: In Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (Vol. 10). (2023, July), Patras, Greece. LINK:https://repository.tudelft.nl/islandora/object/uuid%3Ad3912853-0178-40ba-9735-d3699107c9cf
Opublikowane w: In Proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials (Vol. 10). (2023, July), Patras, Greece., Numer Vol. 10, 2023
Wydawca: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9844.451295

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades

Autorzy: Wen Wu, Ali Saleh, Rasa Remenyte-Prescott
Opublikowane w: 32nd European Safety and Reliability Conference (ESREL 2022), Numer 32th, 2022, Strona(/y) 1385-1392, ISBN 9789811851834
Wydawca: Researchgate
DOI: 10.3850/978-981-18-5183-4_r22-24-242-cd

Acousto-ultrasonic composite transducers integration into thermoplastic composite structures via ultrasonic welding

Autorzy: Galiana, S., Moradi, M., Wierach, P., Zarouchas, D.
Opublikowane w: 10th ECCOMAS Thematic Conference on Smart Structures and Materials 956-965, (2023), Patras, Greece., 2023
Wydawca: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9847.444412

Intelligent Health Indicators Based on Semi-supervised Learning Utilizing Acoustic Emission Data

Autorzy: Morteza Moradi, Juan Chiachío, Rinze Benedictus, Dimitrios Zarouchas
Opublikowane w: EWSHM 2022: European Workshop on Structural Health Monitoring, Numer 1, 2022, Strona(/y) 419–428
Wydawca: European Workshop on Structural Health Monitoring
DOI: 10.1007/978-3-031-07322-9_43

Novel Procedure of Integrating Transducers to Thermoplastic Composite Structures by Induction Heating for SHM

Autorzy: Sofi, T., Gude, M., Garcia, J., Wierach.
Opublikowane w: In proceedings of the 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 2023, Strona(/y) pp. 1291-1302.
Wydawca: ECCOMAS Thematic Conference
DOI: 10.7712/150123.9876.446068