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Lecturer(s)
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Marek Jaroslav, Mgr. Ph.D.
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Tuček Pavel, doc. Mgr. Ph.D.
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Course content
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Lecture topics by week of the semester: 1. Basic concepts and basic tasks of the theory of quality and reliability. 2. Functions and failures of electronic components. 3. Introduction to diagnostics of digital circuits and systems. Reliability management methods, failure prevention, fault tolerance, backup systems (static, dynamic) 4. Basic principles of diagnostics, relationship between diagnostics and reliability. 5. Methods of diagnostics of digital circuits, structural, functional tests. 6. Design for easy diagnostics, built-in diagnostic tools, protection against failures. 7. Introduction to statistical reliability theory, probability distribution (basic models, truncated distributions, mixtures) of time to failure, failure intensity, product life stages. 8. Production process control. 9. Capability, capability indices. 10. Taguchi loss function. 11. Factorial design of experiment. 12. FMEA method. 13. Statistical acceptance by measurement and comparison. The content of the exercises corresponds to the topics of the lectures.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
- Contact teaching
- 52 hours per semester
- Home preparation for classes
- 20 hours per semester
- Preparation for a credit (assessment)
- 24 hours per semester
- Preparation for an exam
- 24 hours per semester
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Learning outcomes
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The aim of the course is to familiarize students with basic concepts in the field of reliability and quality with a focus on electronic systems and with methods of assessing the reliability and quality of electronic components, devices and systems.
After completing the course, the student demonstrates knowledge of statistical quality control and other methods for quality management. He will be able to characterize the production process and its ability to maintain the monitored quality feature within tolerance limits, is able to participate in the creation of a comprehensive production quality management system and design statistical acceptance.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination
The student must demonstrate their understanding of the topics covered during the semester. Specific requirements will be communicated to students by their teachers in the first week of the semester.
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Recommended literature
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HLAVIČKA, Jan. Diagnostika a spolehlivost. Vyd. 2. Praha: Vydavatelství ČVUT, 1998. ISBN 80-01-01846-6.
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JAROŠOVÁ, Eva a Darja NOSKIEVIČOVÁ. Pokročilejší metody statistické regulace procesu.. Praha: Grada Publishing, Expert (Grada), 2018.
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KREIDL, Marcel a kol. Diagnostické systémy. Praha: Vydavatelství ČVUT, 2001. ISBN 80-01-02349-4.
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LÁNSKÝ, Milan a MAZÁNEK, Jan. Diagnostika a informační diagnostické systémy I. Vyd. 2., opr. Pardubice: Univerzita Pardubice, 2001. ISBN 80-7194-338-X.
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TAGUCHI, Genichi, Subir. CHOWDHURY, Yuin. WU, Shin. TAGUCHI a Hiroshi YANO. Taguchi's quality engineering handbook. Livonia, Mich.: ASI Consulting Group, 2005.
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