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Analytics for condition based maintenance

Operational Research

Location:  Highfield Campus
Closing Date:  Monday 15 July 2019
Reference:  1141919PJ

Supervisors:

Dr Alain Zemkoho

Dr Stefano Coniglio

Project description:

Siemens Rolling Stock UK is sponsoring two PhD projects on Data Analytics and Operational Research:

Analytics for condition based maintenance: this research project will focus on developing a combination of data- and model-driven approaches to support the condition based maintenance of rolling stock equipment. The work will involve investigating a combination of data, including for example diagnostic/sensor data for targeted subsystems, land-side equipment (e.g. AVI systems, hand-held measurement device data, etc) and maintenance logs. Understanding the respective data sources, extracting/transforming the source data and developing data-driven approaches to condition assessment will be key features of this exiting research project. To support a data-driven approach, the project will result in the development of physical models using engineering knowledge of the underlying systems. A successful project will validate the hybrid model/data driven approach to condition monitoring against maintenance and/or test data in collaboration with Siemens Engineering teams.   

Reliability Analytics: this research project will focus on developing approaches to reliability modelling of key Rolling Stock components based on Siemens Maintenance Management System (MMS) and Train Diagnostic data. The project will involve self-guided investigation into available data with Siemens Materials/Procurement teams, adapting and developing methods from Reliability Analysis to the context of rolling stock maintenance and validating the methods using historical data in collaboration with Siemens system experts.

DIAMOND: from Data and Intelligence via ModelliNg to Decisions

These project are part of the Southampton DIAMOND initiative of industrially funded PhD projects in Operational Research, Data Science, and mathematical modeling. This year, eight funded studentships are available within DIAMOND.

CORMSIS, the Centre for Operational Research, Management Science, and Information Systems


You will be part of the vibrant research environment of CORMSIS, the Centre for Operational Research, Management Science, and Information Systems at the University of Southampton. CORMSIS has an established breadth and depth in Operational Research unrivalled in the UK. Our research centre applies advanced mathematical and analytical modelling to help people and organisations make better decisions. CORMSIS is the largest Operational Research group in the UK, spanning Mathematical Sciences and Southampton Business School. Among the many areas of expertise, it has extensive breadth and depth of experience in mathematical modelling and optimisation, but covers the whole spectrum of current OR/MS/IS from mathematical optimisation through business analytics and simulation to qualitative research in problem structuring.. In the QS World Rankings by Subject 2019, Operational Research and Statistics at the University of Southampton are placed at 48th in the world and 7th in the UK.
 (http://www.southampton.ac.uk/cormsis/)

How to apply:
Scholarships will be awarded on a competitive basis. Applicants should have or expect to obtain the equivalent of a UK first class or upper second class honours degree (and preferably a master’s degree) in mathematics, computer science, engineering or other relevant discipline. The studentship provides a maintenance grant at the Research Council UK rate and tuition fees at the UK/EU rate. Applications should include a cover letter, CV, detailed academic transcripts and the contact details for at least two academic referees.

please follow the link for more information on how to apply: https://www.southampton.ac.uk/maths/postgraduate/research_degrees/apply.page?&utm_source=mathspgr&utm_medium=mathspgrCTAapply&utm_campaign=mathspgrCTAapply



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