Documents
Project Public Deliverables
D2.2
IT Platform Public Requirements
D2.5
IT platform packaging
D3.2
Manuals/Guidelines for the sensor installation
D3.3
Sensors technical data package and reliability assessment
D4.4
SHM data repository
D5.1
Report on exploratory data analytics algorithms
D6.2
Deep reinforcement learning algorithm
D6.3
Multi-stage maintenance Management Decision-Support tool
D7.1
Hazards and Safety Barriers related with CBM technologies
D8.1
Integration, Verification and Validation strategy and plan
D8.3
Integrated ReMAP IFHM framework
D9.2
Dissemination and Communication Package
D9.3
Data Management Plan
Scientific Publications
Assessing stiffness degradation of stiffened composite panels in post-buckling compression-compression fatigue using guided waves
Nan Yue (Structural Integrity and Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands; Center of Excellence in Artificial Intelligence for Structures, Prognostics & Health Management, Aerospace Engineering Faculty, Delft University of Technology, The Netherlands), Agnes Broer (Structural Integrity and Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands; Center of Excellence in Artificial Intelligence for Structures, Prognostics & Health Management, Aerospace Engineering Faculty, Delft University of Technology, The Netherlands), William Briand (PIMM, Arts et Metiers Institute of Technology, CNRS, Cnam, HESAM University, Paris, France), Marc Rébillat (PIMM, Arts et Metiers Institute of Technology, CNRS, Cnam, HESAM University, Paris, France), Theodoros Loutas (Applied Mechanics Laboratory, Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Rio, Greece), Dimitrios Zarouchas (Structural Integrity and Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands; Center of Excellence in Artificial Intelligence for Structures, Prognostics & Health Management, Aerospace Engineering Faculty, Delft University of Technology, The Netherlands)
Published by Elsevier Ltd.
Remaining Useful Life Prognosis of Aircraft Brakes
Athanasios Oikonomou (Department of Mechanical Engineering and Aeronautics, University of Patras, Patras GR-26500, Greece), Nick Eleftheroglou (Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS, Delft, the Netherlands), Floris Freeman (KLM Royal Dutch Airlines, Schiphol, 1117 ZL, The Netherlands), Theodoros Loutas (Department of Mechanical Engineering and Aeronautics, University of Patras, Patras GR-26500, Greece), Dimitrios Zarouchas (Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS, Delft, the Netherlands)
Published in International Journal of Prognostics and Health Management
The Need for Multi-Sensor Data Fusion in Structural Health Monitoring of Composite Aircraft Structures
Agnes A. R. Broer (Structural Integrity & Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS Delft, The Netherlands; Center of Excellence in Artificial Intelligence for Structures, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS Delft, The Netherlands), Rinze Benedictus (Structural Integrity & Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS Delft, The Netherlands) and Dimitrios Zarouchas (Structural Integrity & Composites Group, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS Delft, The Netherlands; Center of Excellence in Artificial Intelligence for Structures, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629HS Delft, The Netherlands)
Published in MDPI
Playful Probes for Design Interaction with Machine Learning: A Tool for Aircraft Condition-Based Maintenance Planning and Visualisation
Jorge Ribeiro, Pedro Andrade, Manuel Carvalho, Catarina Silva, Bernardete Ribeiro and Licínio Roque (U.Coimbra)
Published in MDPI
Remaining Useful Life Estimation of Cooling Units via Time-Frequency Health Indicators with Machine Learning
Raúl Llasag Rosero, Catarina Silva and Bernardete Ribeiro (U.Coimbra)
Published in MDPI
The Impact of Prognostic Uncertainty on Condition-Based Maintenance Scheduling: an Integrated Approach
Iordanis Tseremoglou and Marie Bieber (Delft University of Technology, Delft, 2629HS, The Netherlands), Wim J.C. Verhagen (RMIT University, Carlton, Victoria, 3053, Australia), Bruno F. Santos (Delft University of Technology, Delft, 2629HS, The Netherlands), Floris C. Freeman and Paul J. van Kessel (KLM Royal Dutch Airlines, Schiphol, 1117ZL, The Netherlands)
Published in AIAA AVIATION 2022 Forum
Data Driven Prognostics Incorporating Environmental Factors for Aircraft Maintenance
Marie Bieber (Delft University of Technology), Wim J.C. Verhagen (PhD, RMIT University), Bruno F. Santos (PhD, Delft University of Technology)
Published in 67th Annual Reliability and Maintainability Symposium, RAMS 2021
Airline maintenance task rescheduling in a disruptive environment
Paul J. van Kessel (KLM), Floris C. Freeman (KLM), Bruno F. Santos (Faculty of Aerospace Engineering, Delft University of Technology)
Abstract. Work not published yet.
Age and Condition-Based Preventive Replacement Timing for Periodic Aircraft Maintenance Checks
Floris C. Freeman (KLM),Paul J. van Kessel(KLM), Wim J.C. Verhagen (RMIT)
Published in European Conference of the Prognostics and Health Management Society
Health monitoring of aerospace structures utilizing novel health indicators extracted from strain and acoustic emission data
Georgios Galanopoulos (U.Patras), Agnes Broer (TUD), Dimitrios Milanoski(U.Patras), Dimitrios Zarouchas (TUD),Theodoros Loutas (U.Patras)
Published in 2021 IEEE International Workshop on Metrology for AeroSpace
Analytical modelling of vibrations in a damaged beam using Green-Volterra formalism
Damien Bouvier, Nazih Mechbal, Marc Rebillat (Arts et Metiers Institute of Technology, CNRS, CNAM, PIMM, HESAM Univesité)
Published in  HAL Archives ouvertes
TrajecNets: Online Failure Evolution Analysis in 2D Space
Nauman Shahid,Anarta Ghosh (United Technologies Research Center)
Published in International Journal of Prognostics and Health Management
Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling
Juseong Lee, Mihaela Mitici (Faculty of Aerospace Engineering, Delft University of Technology)
Published in Reliability Engineering and System Safety Journal
An Adaptive Framework For Remaining Useful Life Predictions Of Aircraft Systems
Marie Bieber, Wim J.C. Verhagen, and Bruno F. Santos (Faculty of Aerospace Engineering, Delft University of Technology)
Published in Proceedings of the 6th European Conference of the Prognostics and Health Management Society 2021
Estimation of Health Indicators using Advanced Analytics for Prediction of Aircraft Systems Remaining Useful Lifetime
Daniel Azevedo, Alberto Cardoso, and Bernardete Ribeiro (U. Coimbra)
Published in The International Journal of Prognostics and Health Management (ijPHM)
Aircraft Maintenance Check Scheduling Using Reinforcement Learning
Pedro Andrade (U. Coimbra), Catarina Silva (U. Coimbra), Bernardete Ribeiro (U. Coimbra), and Bruno F. Santos (TUD)
Published in the Aerospace Journal
Fusion-based damage diagnostics for stiffened composite panels
Agnes Broer (TUD), Georgios Galanopoulos (U.Patras), Rinze Benedictus(TUD), Theodoros Loutas (U.Patras) and Dimitrios Zarouchas (TUD)
Published in the Structural Health Monitoring Journal
Aircraft Fleet Health Monitoring with Anomaly Detection Techniques
Luis Basora (ONERA DTS), Paloma Bry(ONERA DTS), Xavier Olive(ONERA DTS), and Floris Freeman (KLM)
Published in the Aerospace Journal
Analytical modeling of vibrations in a damaged beam using Green-Volterra formalism
Damien Bouvier, Nazih Mechbal, and Marc Rebillat (ENSAM)
Presented in the 2020 Special Collection of the 10th European Workshop on SHM
Damage imaging post processing for delamination size assessment of CFRP aeronautic structures
William Briand, Marc Rebillat, Mikhail Guskov, and Nazih Mechbal (ENSAM)
Presented in the 2020 Special Collection of the 10th European Workshop on SHM
Estimation of health indicators using advanced analytics for prediction of aircraft systems remaining useful lifetime
Daniel Azevedo, Alberto Cardoso, and Bernardete Ribeiro (University of Coimbra)
Published in the ijPHM - The International Journal of Prognostics and Health Management
Presented in the European Conference of the Prognostics and Health Management Society 2020
Remaining Useful Life Estimation in Aircraft Components with Federated Learning
Raúl Llasag Rosero, Catarina Silva, and Bernardete Ribeiro (University of Coimbra)
Presented in the European Conference of the Prognostics and Health Management Society 2020
An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets
J. Lee and M. Mitici (TUDelft)
Published in the Journal of Reliability Engineering and System Safety, 2020
Recent Advances in Anomaly Detection Methods Applied to Aviation
Luis Basora, Xavier Olive, Thomas Dubot (ONERA)

Improving Lamb Wave detection for SHM using a dedicated LWDS electronics

G. Jaussaud (CEDRAT), J. Rebufa (CEDRAT), M. Fournier (CEDRAT), F. Claeyssen (CEDRAT), M.Logeais (CEDRAT), N. Bencheikh (CEDRAT), M. Rébillat (ENSAM) and M. Guskov (ENSAM)

Damage size quantification in aeronautic composite structures based on imaging results post-processing
William BRIAND, Marc REBILLAT, Mikhail GUSKOV and Nazih Mechbal (ENSAM)
Presented at IX ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 2019
Strain-based Damage Assessment of Stiffened Composite Panels for Structural Health Monitoring Purposes
Dimitrios P. Milanoski & Theodoros H. Loutas (University of Patras)
Presented at IX ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 2019
Improving Efficiency and Robustness of Structural Health Monitoring Techniques Based on Lamb Wave Detection
J. Rebufa (CEDRAT), G. Jaussaud (CEDRAT), F. Claeyssen (CEDRAT), M. Fournier (CEDRAT), M. Logeais (CEDRAT), N. Bencheikh (CEDRAT),M. Rébillat (ENSAM) & M. Guskov  (ENSAM)
Presented at IX ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 2019
Principal Least Squares Canonical Correlation Analysis for Damage Quantification in Aeronautic Composite Structures
Marc Rebillat & Nazih Mechbal (ENSAM)
Presented in IWSHM 2019 – Stanford, CA, USA
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