Course detail

Reliability 2

FSI-XS2-KAcad. year: 2015/2016

The subject is focused on the most advanced knowledge of reliability, and the subject is an extension of Reliability I subject. Attention is also paid to some selected subjects, which are specified in the syllabus. This may be flexibly changed and modified during lectures, both in contents and in scope, according to the student requirements.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Miloš Hammer, CSc.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Learning outcomes of the course unit

A student will extend his theoretical knowledge of reliability which can apply in industrial mechanical/electrical engineering practice to solve different problems related to the aforementioned topics.

Prerequisites

Knowledge of mathematics and physics at a level of university study. Also, the knowledge of the aforementioned special field in a scope of the previous bachelor study and Reliability I subject is expected.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline.

Assesment methods and criteria linked to learning outcomes

The subject consists of lectures completed by a graded credit. Within the graded credit, the student must pass a written test, and he/she may achieve the scoring of up to 100. The final scoring rate of the examination shall be classified according to the ECTS grading system.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective of the subject is to acquire the knowledge of reliability. The subject continues in Reliability I subject as well as Principles of Reliability in the framework of the bachelor’s study.

Specification of controlled education, way of implementation and compensation for absences

The knowledge of the students shall be verified within the graded credit.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

MYKISKA,Antonín. Bezpečnost a spolehlivost technických systémů. 1. vydání. Praha: České vysoké učení technické v Praze, 2006,206 s. Učební texty ČVUT v Praze. Fakulta strojní. ISBN 80-01-02868-2.
NOVÁK,M.; ŠEBESTA,V.; VOTRUBA, Z. Bezpečnost a spolehlivost systémů. 1. vydání. Praha: České vysoké učení technické v Praze, 2001, 150 s. Učební texty ČVUT v Praze. Fakulta dopravní. ISBN 80-01-02331-1.

Recommended reading

MOUBRAY, J. Reliability-Centered Maintenance. A Butterworth-Heinemann Title. 1999. 440 s. ISBN 978-0750633581.
KARPÍŠEK,Zdeněk. Matematika IV, statistika a pravděpodobnost. 3. doplněné vydání. Akademické nakladatelství CERM, s.r.o., 2007. 170 s. ISBN 978-80-214-3380-9.
SMITH, D. Reliability, Maintainability and Risk 8e: Practical Methods for Engineers Including Reliability Centred Maintenance and Safety-Related Systems: Practical Safety-Related Systems Engineering Methods. A Butterworth-Heinemann Title. 2011. 464 s. ISBN 978-0080969022.

Classification of course in study plans

  • Programme N2301-2 Master's

    branch M-KSB , 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Guided consultation

9 hod., optionally

Teacher / Lecturer

doc. Ing. Miloš Hammer, CSc.

Syllabus

1.Computation of reliability charakteristics of two-state systems
2.Mathematical expressions for reliability, availability, maintainability and maintenance support terms
3.Terminology for reliability, reliability programme for technical systems
4.Engineering of system dependability
5.Life cycle costing
6.Guidance on system dependability specifications
7.Collection of dependability data from the field
8.Faults of technical systems, methods and consequences of faults
9.Realiability centred maintenance
10.Interference theory and its application in reliability
11.Maintenance key performance indicators
12.Maintenance provision and operating reliability
13.Realiability test conditions and statistical test principles