Delft, The Netherlands
1st International Conference
for CBM in Aerospace
24 – 25 May 2022
Conference Program
The conference will consist of a set of parallel technical sessions in which participants will present and discuss solutions and challenges regarding the development and implementation of condition-based maintenance in the aerospace industry. Some of these technical sessions are organised by partners (below).
In addition to this, a few plenary sessions with invited speakers from industry and academia will be organised.
Presenters will have 15 minutes to present their work, followed by 5 minutes Q&A. The presentations should be uploaded to the cloud folder before the conference (filename ‘[Session number]_[AUTHOR]_[SHORT TITLE]’, e.g., ‘03_Smith_Analysis of PHM Solutions.pptx’).
Conference program now available!
Current Technical Sessions
Predictive aircraft maintenance integrating RUL prognostics
In the past years, the increasing availability of health-monitoring data for aircraft systems has stimulated the development of advanced algorithms for Remaining-Useful-Life (RUL) prognostics. Most such RUL prognostics are developed using a model-based or a machine-learning approach. Few studies, however, integrate these RUL prognostics into maintenance planning. This session aims to present recent progress on the integration of RUL prognostics of aircraft systems into maintenance planning.
Chair: Mihaela Mitici (TU Delft) – M.A.Mitici@tudelft.nl
Advanced Maintenance Strategies
The steady increase in data generated by aircraft and underlying concepts such as digital twins are an fundamental prerequisite for failure prediction and vehicle health management. In this context, predictive maintenance strategies represent a potential solution to reduce operating cost and increase the aircraft’s availability. An extended perspective beyond the asset itself and considering the surrounding MRO ecosystem would empower operators and other stakeholders with an even more comprehensive and multidimensional view for smarter decision-making processes. This session aims to address topics which allows for a paradigm shift of traditional decision-making processes in maintenance planning, leading to a globally optimized aircraft operation in terms of robustness, cost-effectiveness and sustainability.
Chair: Kai Wicke (DLR) – Kai.Wicke@dlr.de
Establishing CBM as a Mainstream Maintenance Practice
The objective of Condition Based Maintenance (CBM) is to perform maintenance based on “the evidence of need” while ensuring safety, reliability, availability, and reduced life cycle costs. The primary evidence is data produced by supporting technologies such as health monitoring systems and related enterprise level business applications such as maintenance data systems and predictive analytics.
Certain sectors of the Civil and Defense aerospace industries are beginning to exploit the application of the supporting technologies to make CBM a mainstream maintenance practice.
This session includes topics related to: (a) ongoing efforts by standards development organizations (SDOs) to help fleet operators, government regulators, and airworthiness organizations understand how to implement CBM as a mainstream business practice, and (b) specific CBM use case implementations and lessons learned at civil and defense organizations.
Topic Area: Maintenance Policies and Strategies
Session Co-organizers: Luis Hernandez (luis@gssllc.net), Joao Malere, David Piotrowski, David Nelson, Kirby Keller
Application of innovative health monitoring techniques
All systems, materials, and structures eventually degrade or get damaged during their lifecycle. The sources of these defects can be varied from environmental conditions to operational usage. There is an assortment of sensor packages and technologies for engineers to choose that can be applied to monitor the influence of these degradation factors. Crucially, the techniques employed to exploit the data collected from the sensor systems have a significant impact on the effectiveness of damage detection and monitoring. The combination of the right sensors with the appropriate prognostic/diagnostic algorithm provides valuable information to the engineer to make the best decision for maintenance action. The goal of this session is to share the state-of-the-art research in these health monitoring techniques and learn from the challenges encountered through real-life applications.
Technical Session Organizer: NLR – Royal Netherlands Aerospace Centre
Main coordinator: Vis Dhanisetty (vis.dhanisetty@nlr.nl)
Co-organizers: Marcel Bos (marcel.bos@nlr.nl), Frank Grooteman (frank.grooteman@nlr.nl), and Jason Hwang (jason.hwang@nlr.nl)
Operational Monitoring using Airframe Digital Twins in Aerospace
In the digital age, the Airframe Digital Twins are gaining momentum as new enablers for future aircraft or aircraft component operational monitoring. Thanks to the combination of engineering and manufacturing data from the airframe and the utilization data from the aircraft, the digital twins could achieve more cost-efficient maintenance without compromises to safety. This technical session aims at presenting and discussing Airframe Digital Twin applications; the latest progress made towards establishing the twins for airframe structures and challenges ahead.
Organizer/Chair: Derk Daverschot (Airbus) – derk.daverschot@airbus.com
KLM Best ICCBMA22 Work Award
The “KLM Best ICCBMA22 Work Award” is given to the author(s) of the work presented at the 1st International Conference for Condition-based Maintenance in Aerospace (ICCBMA22) that most contributed to the development of practical CBM solutions or the notable advancement in the implementation of CBM solutions in practice. An independent committee will select up to 5 high-quality works, and the winner will be selected by our partner KLM E&M from these 5 works. The author(s) of the winning work will share a €1000 prize.
Have any questions? Send us an email.