Course detail

Production Systems Operation and Diagnostics

FSI-GDPAcad. year: 2009/2010

This course is concerned with production machines and production systems operation, safety and diagnostics from the theoretical and practical points of view.
This course is also based on current law, standards (ISO 9 001: 2000, harmonized standards), system and integration conceptions and methods etc.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Learning outcomes of the course unit

Students will learn a systematic and methodical approach to production machines and systems design, projection and application regarding their safety, operation and diagnostics. Students will also learn to work independently.

Prerequisites

Student should have basic knowledge of design and control
of production machines and systems, university mathematics and physics.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Conditions for a course-unit credit awarding:
1. 100 % attendance at seminars (in special cases it is possible to compensate by
assigning special home work).
2. Checking activity of students on the term project.
3. Final course examination includes the following parts:
1) Evaluation of the project.
2) Evaluation of knowledge (written and oral parts).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

This subject provides students with knowledge about present and up-to-date trends of production machines and systems operation, safety and diagnostics.

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

Checking knowledge at seminars in the frame of term project.
Attendance will be checked at seminars.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Bělohoubek, P.: Efektivní stavba, provoz a údržba strojů. Přednáška na semináři ICB, Brno, 2005
Bělohoubek, P: Investice a výrobní systémy I., Publikace ICB, Brno 2001
Bělohoubek, P.: Příprava, plánování a nasazování investic a investičních celků. Investice a výrobní systémy II. Publikace ICB, Brno 2004
Bělohoubek, P.: Logistika v řízení podniku III., Publikace ICB, Brno 1997
Bělohoubek, P.: Logistika v řízení podniku I. Publikace ICB, Brno 1996/1997

Recommended reading

Bělohoubek, P.: Logistika v řízení podniku II. Logistika v řízení lidských zdrojů. Publikace ICB, Brno 1997.

Classification of course in study plans

  • Programme M5I-P Master's

    branch M-VSR-5 , 2. year of study, winter semester, compulsory

  • Programme M2I-P Master's

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

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

1. System approach to production machines and systems safety in the EU and Czech Republic.
Selected Safety directives of EU, laws of Czech Republic, CSN EN norms etc. Responsibility
for damages by product defects.
2. System of quality management, TQM, CIM and their application in the production machines and
systems design, operation and safety.
3. Risk management, statistical process control (SPC)applied to machines and production
systems operation and diagnostics.
4. Operation, maintenance and regeneration of production machines and systems.
5. Safety integration.
6. Ergonomics of operation and safety of production machines and systems.
7. Diagnostics - selected terms. Diagnostics of technical processes.
8. Diagnostics of production machines and systems.
9. Diagnostic technical equipments and methods of production machines
and systems.
10. Diagnostic of mechanical parts of production machines.
11. Function diagnostics of production machines, retrofit with modernisation.
12. Engineering methods in the production machines diagnostics in the continuous
of their design (FEM, Fourier transformation etc.).
13. Artificial intelligence (AI) in diagnostics.

Exercise

13 hours, compulsory

Teacher / Lecturer

Syllabus

1.-13. Information on selected application to topics presented at lectures.
Students team work on the term project.
Example of term project assignment:
Diagnostics of a machine before its operation starting (solved in 2004):
1) Test of control system (HW and SW)
2) Test of drives
3) Test of hydraulics
4) Test of tool clamping
5) Test of cooling system
6) Test of lubrication system etc.