Course syllabus - Power plants and processes monitoring and diagnostics
Scope
2.5 credits
Course code
ERA314
Valid from
Autumn semester 2019
Education level
Second cycle
Progressive Specialisation
A1N (Second cycle, has only first-cycle course/s as entry requirements).
Main area(s)
Energy Engineering
School
School of Business, Society and Engineering
Ratified
2019-01-31
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Ingen specifik kurslitteratur. No specific literature.
Akademin för ekonomi, samhälle och teknik,
Objectives
The purpose of the course is to familiarize with methods for process monitoring and diagnostics and with the use of physics-based and data driven models. The course will provide knowledge on fault detection and identification for condition based maintenance, the current state-of-the-art, and future technology developments.
Learning outcomes
1. Describe the fundamental methods used for process monitoring and diagnostics
2. Discuss the basic principles and limitations of physics-based and data driven techniques
3. Compare different methods for fault detection and identification
4. Perform fault detection and identification on data from a numerical model
5. Describe the structure and functions of a diagnostic-prognostic framework and design a simple diagnostic system
Course content
The course will give an overview of process monitoring and diagnostics with a focus on the power generation sector. Different fault detection methods using physics-based and data-driven models coupled with machine learning techniques will be covered. The course will address challenges currently experienced in the process industry with regards to power plants health management. The participants will familiarize with process monitoring and apply their knowledge of process performance and simulation to the development of advanced algorithms for fault diagnosis.
Tuition
Web-based tuition and web-based assignment
Specific requirements
120 credits of which 90 credits engineering or natural science and 7,5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Examination
Seminar (SEM1) 0.5 hp, grade Passed (G), (Learning outcomes: 1, 2, 3, 4, 5)
Assignment (INL1) 1 hp, Grade: 3, 4, 5, (Learning outcomes: 3, 4)
Individual home examination (HEM1) 1 hp, Grade: 3, 4, 5, (Learning outcomes: 1, 2, 3, 4, 5)
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail