Course objectives:
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The main learning outcomes of the course are to acquaint students with the basic concepts of reliability theory and its calculation procedures. With respect to defined reliability indicators for continuous and discrete probability distributions, students will learn how to calculate the reliability of both renewed and non-renewed systems, including the inclusion of ways to increase reliability using different ways of backing up. Students will also be introduced to the possibilities of lifetime determining with respect to applied aging. Further, the course is devoted to the use of graphical methods of reliability assessment in the form of Failure Tree Analysis (FTA) and Event Tree Analysis (ETA). Attention is also paid to the quality of electrotechnical production and the approaches to its provision with regard to the reliability of operation and production.
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Requirements on student
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The course is finished by a combined exam (written and oral part). The test contains numerical examples as well as theoretical questions.
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Content
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1. Fundamental terms of the theory of reliability, failure differentiation
2. Failure model, reliability characteristics and his calculation
3. Continuous reliability distribution of failure
4. Discrete reliability failures distribution; Estimation of parameters distribution of failure
5. Reliability of non-renewable systems - serious and parallel systems
6. Reliability of non-renewable systems - method of decomposition, paths and sections
7. Redundancy; Probability of renewable systems - renewal theory
8. Markov model - theory; Markov chain
9. Markov process
10. Event tree analysis - theory, construction
11. Fault tree analysis - theory, construction
12. Fault tree analysis, Event tree analysis - qualitative and quantitative analysis
13. Basic concepts of statistical data processing, methods of analysis
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Activities
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Fields of study
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Studentům je k dispozici kurz v Moodle se všemi podstatnými informacemi a materiály.
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for an examination (30-60)
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42
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Preparation for formative assessments (2-20)
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10
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Total
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52
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Combined form of study
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Activities
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Time requirements for activity [h]
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Contact hours
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16
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E-learning [dáno e-learningovým kurzem]
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36
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Total
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52
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Full-time form of study
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Activities
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Time requirements for activity [h]
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Contact hours
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52
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Total
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52
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
to clarify the basic concepts of probability theory (random experiment, random phenomenon, probability of phenomenon, etc.)
to describe the basic computational procedures of mathematical calculus |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to apply basic computational methods of mathematical calculus |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to explain the basic concepts of quality and theory of reliability |
to describe in its own terms the basics of the reneal theory |
to describe ways to increase system reliability and apply reliability calculations for individual backup methods |
to orientate in the use of mathematical statistics and data analysis in reliability |
Skills - skills resulting from the course: |
to apply the basic calculuses of probability theory and apply them to the field of reliability |
to apply computational methods for selected continuous and discrete statistical distribution of random variables |
to apply methods to determine the reliability of simple and complex systems |
to distinguish degradation mechanisms and to explain the use of Arhenius law for constructing of lifetime curves |
to apply computational methods for evaluating renewed systems using Markov models |
to distinguish Failure Tree Analysis (FTA) and Event Tree Analysis (ETA) and calculate them |
to use of tools to evaluate process control and process eligibility |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Test |
Skills - skills achieved by taking this course are verified by the following means: |
Combined exam |
Test |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture with visual aids |
Skills - the following training methods are used to achieve the required skills: |
Lecture with visual aids |
Seminar classes |
Competences - the following training methods are used to achieve the required competences: |
Lecture with visual aids |
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