Course detail

Transport Machines and Equipment Dependability

FSI-QDSAcad. year: 2020/2021

This course provides a comprehensive overview on fundamentals of dependability engineering in the area of mechanical design. Special attention is paid to transport machines and equipment dependability. The course deals with both theoretical and practical applications of dependability engineering. All considerations are related especially to the vehicle design process; nevertheless questions of dependability testing and dependability in use are also presented. The course mainly includes: non-repairable and repairable system dependability modelling, methods of inherent reliability analysis, FMEA/FMECA method, fault tree method, problems of vehicle maintainability and maintenance optimisation, dependability testing and data collection. Practical problem solving further solidifies the knowledge of these applications.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. Ing. Zdeněk Vintr, CSc.

Department

Institute of Automotive Engineering (ÚADI)

Learning outcomes of the course unit

The students will obtain complex survey of problems associated with providing the dependability in the case of complex technical systems. They acquire basic knowledge from dependability theory and learn practically to model system dependability and predict reliability, maintainability and availability measures with usage of selected methods of dependability analysis and on the basis of dependability data from service and tests.

Prerequisites

The student needs to have basic knowledge from field of probability and statistics. The student also needs to have basic knowledge from fields of design in engineering, limit states of materials and structures, solid mechanics and electrical engineering.

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. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

Course-unit credits terms:
Knowledge of principles and interdependence of presented problems and practical ability to apply individual methods and procedures. Ability of practical usage of methods and procedures is examined during solving assignments. Basic condition: participation at seminars, fulfilment of tests and individual elaboration of scheduled tasks without major mistakes.
Examination:
Knowledge of theoretical basis of dependability and techniques for dependability assurance in the case of transport machines and equipment is tested during the examination. Ability of practical usage of theoretical knowledge is tested at practical tasks. Examination consists of a written part (5 practical tasks) and oral part (verification of knowledge on the theoretical basis).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective of the course Transport Machines and Equipment Dependability is to give students basic information on modern approaches and methods of dependability assurance for complex technical systems and especially for transport machines and equipment. The subject assignment is the explanation of dependability theory principles and presentation of basic techniques of dependability engineering for development, design, tests and service.

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

Attendance in seminars is obligatory, checked by a teacher. The way of compensation of absence is solved individually with a course provider.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Blischke, W. R. & Murthy D. N. P.: Reliability: Modeling, Prediction, and Optimization. New York: John Wiley, 2000.
Kececioglu, D.: Reliability Engineering Handbook. Volume 1 & 2. New York: Prentice Hall, 1991.
Meeker, Q. W. & Escobar L. A.: Statistical Methods for Reliability Data. New York: John Wiley, 1998.

Recommended reading

Holub, R. & Vintr, Z.: Spolehlivost letadlové techniky [Elektronická učebnice]. Brno: FSI VUT, 2001.
Holub, R. & Vintr, Z.: Základy spolehlivosti. Brno: Vojenská akademie, 2002.
Holub, R.: Zkoušky spolehlivosti. (Stochastické metody). Brno: Vojenská akademie, 1992.
Kececioglu, D.: Reliability Engineering Handbook. Volume 1 & 2. New York: Prentice Hall, 1991.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-ADI , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Zdeněk Vintr, CSc.
Ing. Michal Vintr, Ph.D.

Syllabus

1. Introduction to dependability engineering, dependability program, standardisation in dependability.
2. Fundamental definitions and terms.
3. Fundamentals of probability a statistical tools for dependability.
4. Modelling dependability of items.
5. Modelling non-repairable systems dependability.
6. Methods of non-repairable systems dependability analysis.
7. Modelling repairable systems dependability.
8. FMEA/FMECA method and method of fault tree.
9. Maintainability and maintenance policies.
10. Theory of dependability testing.
11. Compliance and determination dependability tests.
12. Reliability growth testing.
13. Dependability data collection, software for dependability.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Michal Vintr, Ph.D.

Syllabus

1. Dependability program elements and tasks.
2. Failure classification.
3. Operations with events, calculation of event appearance probability.
4. Usage of statistical tools for items reliability estimation.
5. Practical design of reliability block diagrams.
6. Reliability measures estimation for non-repairable systems.
7. Usage of Markov models.
8. Analysis of vehicle system reliability using the FMECA and fault tree.
9. Maintainability and availability measures estimation for transport machines.
10. Application of Reliability centred maintenance.
11. Test plans, calculation of cumulative time of test.
12. Analysis of reliability test data and reliability growth monitoring.
13. Practical usage of software for vehicle system reliability analysis.