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FEI3364 Reliability Centred Asset Management for Power Systems 9.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEI3364 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Definitions and concepts in reliability theory used in the course

Network reliability modeling

Component reliability importance techniques

Markov modeling

Lifetime models

Software tools

Maintenance optimization techniques and problem formulation

Life cycle cost and Life cycle cost analysis

Power system regulatory methods.

Project work on reliability

Peer review of paper (fellow student)

Intended learning outcomes

The course is aimed to you that want to perform power system reliability assessment. The goal for the course is to give the participants deeper knowledge on how to use reliability analysis as a tool for decision support during design, operation and maintenance of electric power systems.

The student should after passed course have reached such level in their understanding of power system reliability that they are able to contribute to the research field. Specifically being able to use reliability assessment as a tool for decision support for planning and operation of the electric power system. After completed course the participants shall achieved knowledge to:

    * Describe the fundamental definitions and concepts for reliability assessment

    * Analyze a system using the following techniques for reliability assessment:

      - Network modeling

      - Component importance techniques

      - Markov modeling

      - Lifetime models

    * Analyze an electrical distribution system using software tools.

    * Formulate a Life cycle cost model (LCC).

    * Discuss power system regulatory issues.

After completed course the participants shall be able to publish results (conference level) on one of the topics:

(1) Reliability data assessment and modeling,

(2) Reliability centered maintenance for maintenance optimization,

(3) Condition monitoring and diagnostics methods and

(4) Computer tools supporting techniques for maintenance planning.

(5) Control system reliability.

Literature and preparations

Specific prerequisites

Doctoral student

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

Lecture notes and papers handed out at lectures.

Rausand Höyland: System Reliability Theory, 2nd ed.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Examination, 9.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

·         Exam

·         Oral presentation

·         Review of peer-paper

·         Project approved and delivered before deadline

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Patrik Hilber (hilber@kth.se), Sanja Duvnjak Zarkovic (sanjadz@kth.se)

Postgraduate course

Postgraduate courses at EECS/Electromagnetic Engineering