Detta är ett uppsatsförslag hämtat från Nationella Exjobb-poolen. Klicka här för att komma tillbaka till samtliga exjobbsförslag.
Study of Odometry Solutions for Railway Applications
We at Bombardier Transportation are proud to build and support world-class products that are in service around the world.
We conduct our business in a highly competitive world market with integrity, customer orientation, shareholder focus and a commitment to excellence.
We are team players who put people first in our efforts to succeed as an organization and to grow as individuals. If, like us, you are passionate about winning and have a drive for results, Bombardier is the place for you.
We invite you to join our team.
We currently have a vacancy for a Master Thesis Student in our RCS (Rail Control Solutions) Division based in Stockholm. RCS develops, sells, and installs advanced rail control and signalling systems. It is headquartered in Stockholm and main sites are in Madrid, Rome, Bangkok, Braunschweig and Katowice.
The successful candidate will be responsible for a thesis entitled ‘Odometer with GPS and accelerometer in railway applications’. This project will be between 3 to 5 months in duration.
The objective of the proposed thesis is to make a prototype platform for an odometer for railway applications using gyro, accelerometer and GPS, with focus on exploring behaviour and performance differences if applying sensor fusion to full 3D gyro/accelerometer data versus basing sensor fusion and error detection on data pre-condensed to 1D only.
The results of the thesis should enable usRCS to estimate the potential benefits with a 3D model, as well as the development efforts and requirements on processing capacity.
Specific for a railway application is that the global positioning is of less importance, and that the focus is accurate positioning along the track relative to local reference points (such as Balises).
The student should get an overview of the problem and the available know-how on algorithms and interfaces. Available open source solutions are of interest. The next step is to make a working prototype using suitable algorithms and sensors.
The algorithms in the prototype implementation should be rather canonical, i.e. proven and conventional solutions. An objective of the thesis is to identify in what ways an good optimized implementation for this application would be different from a canonical implementation.
The prototype is to be tested in a train to collect realistic data. As far as practical circumstances allows, the tests should include conditions that explores the limits of the sensors and algorithms. Examples are tunnels (loss of GPS), slow movements, driving with slip/slide and in sharp curves.
The correlation between the sensors (or lack of!) is subject to investigation, as a final product would combine the sensors with some weighting or voting algorithm.
The thesis should include:
? A list of references to potential algorithms in literature, with a brief evaluation of each.
? A working implementation of selected suitable algorithms.
? Measurement data from field tests.
? Evaluation of the measurements and achieved measurement quality including accuracy.
? Good written descriptions of the implemented algorithms,
? Description of the software and its architecture, i.e. how the different modules in the software interacts.
? A discussion about what level of measurement accuracy may be feasible.
? A discussion about how the prototype solution could be improved or extended.
? An estimation of how may many arithmetic operations are needed per second in the computation.
? A discussion about how the number of arithmetic operations could be decreased.
The prototype shall be tested and the achieved accuracy shall be evaluated.
At the end of the projectAdditionally, also a Preliminary Hazard Analysis should be conducted. This is a standard procedure in development of safety products. This session will be lead led by a qualified safety engineer. The objective of this session would be to identify requirements on a safe version of the 3D odometer.
For this role we would particularly value the following skills and competencies:
Requested skills: Applied mathematics, engineering
Level: Master’s in Applied Mathematics or equivalent
Please apply on-line via www.careers.bombardier.com
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.