Edit StudentProjectForm: Data mining for fault diagnostics in cyberphysical systems

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Summary:	MANDATORY: (provide a one-line* summary of the project)*
Programme:	OPTIONAL: (Name and the number of credits)
Keywords:	OPTIONAL: (Give 4-5 keywords)
TimeFrame:	MANDATORY: (Indicate time for the project, for example, Fall 2024)
References:	[1] Sankavaram, Kodali, Martinez Ayala, Pattipati, Singh, Bandyopadhyay, "Event-driven Data Mining Techniques for Automotive Fault Diagnosis", 21st International Workshop on Principles of Diagnosis, (2010), http://www.phmsociety.org/node/451 [2] Saxena, Wu, Vachtsevanos, "A Hybrid Reasoning Architecture for Fleet Vehicle Maintenance", IEEE Instrumentation & Measurement Magazine, pp 29-36, (2006) [3] Kargupta, Gilligan, Puttagunta, Sarkar, Klein, Lenzi, Johnson, "MineFleet ®: The Vehicle Data Stream Mining System for Ubiquitous Environments", in (May and Saitta, Eds) Ubiquitous Knowledge Discovery, Lecture Notes in Artificial Intelligence 6202, Springer-Verlag, pp. 235–254, (2010) OPTIONAL: (Give 2-3 references for students to start with)
Prerequisites:	Learning systems, multivariate analysis, programming skills OPTIONAL: (Courses, any other important information)
Supervisor(s):	MANDATORY: (can be multiple names, coma-separated)
Examiner:	OPTIONAL: (Name of project Examiner)
Author(s):	OPTIONAL: (can be multiple names, coma-separated)
Level:	MANDATORY: choose one, preferably <Master>
Status:	MANDATORY: choose <Open> when the topic is ready for students to select

Project description (free text)

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Research question
Whether it’s more software or hardware related
A very brief description of 3-4 work packages
Deliverables/outcomes/results

The problem is learning to link specific characteristics/features with observed historical faults in mobile cyberphysical systems (city buses). The available data bases are: (1) a large database with on-board data on a fleet of city buses over the period Aug 2011 – Dec 2013; (2) the service records for the same buses over the same period. The project is suitable for 2 students. The students must have experience with matlab, be skilled in mathematics, be interested in text data mining and be able to work in an organized way. Deliverables: (a) A definition of the problem (b) A state-of-the-art description of diagnostics methods, specifically data-mining based (c) A set of suitable diagnostic cases from the data bases (d) A list of suitable methods to use (e) Results of testing with the set of suitable methods on the set of suitable cases (f) A report The work is well suited for writing a short scientific paper in the end and submit it to a conference. The project is suitable for 2 students with high work capacity and the ambition to show abilities for scientific or high-level development work. Work packages: (a) Defining the problem (b) State-of-the-art definition (c) Extracting cases from the data bases (d) Defining the set of methods to test (e) Running the tests (f) Analysis, conclusions and writing the report

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Edit StudentProjectForm: Data mining for fault diagnostics in cyberphysical systems

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