Objective
The need for reduced costs and higher system reliability will make condition-based maintenance a key technology in the railway sector in the nearer future. However, reliable and adequate methods for monitoring track conditions, preferably by adding monitoring devices to ordinary rolling stock, are still far from being in place. The proposed project focuses on acoustic track monitoring and aims at pushing forward this monitoring technique to a point, where track faults such as squats, deteriorated rail joints or hanging sleepers can be automatically detected and quantified. This is achieved by combining advanced measurement techniques - involving sound pressure signals due to radiation from rail and wheel as well as axle box vibrations – with advanced simulation techniques for wheel/rail interaction. DB Systemtechnik GmbH as my host supplying all needed measurement techniques and myself as expert in the modelling of wheel/rail interaction will meet and utilize synergy effects from merging our competences in order to design and implement a methodology for acoustic track monitoring that is clearly beyond today's state-of-the-art. Furthermore, being an active member of the group at DB Systemtechnik will give me access to experience, knowhow and education in the railway technology sector. This is a unique possibility for me to broaden my career profile. It will make me an attractive employee both in the railway technology sector as well as in academia. Crossing the boarders of academia and preparing myself for leadership during my fellowship will be a strong support for my goal to become a research leader in academia. It will widen my professional network and offer a possibility for strong cooperation beyond the lifetime of the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences physical sciences acoustics
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences software software applications simulation software
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-SE - Society and Enterprise panel
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
32423 MINDEN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.