Course detail

Technical Diagnostics I

FSI-XT1Acad. year: 2012/2013

The subject is focused on the most advanced knowledge of technical diagnostics principles. Emphasis is mainly laid on the definitions, basic terms, diagnostic tools and models. Also, the term of diagnostic system is introduced and explained. Students are familiarized with the recognition in diagnostics and with the classification of statistical methods. A great attention is focused on artificial intelligent application in the diagnostics. Finally, standards and legislative in diagnostics are mentioned.

Language of instruction

Czech

Number of ECTS credits

5

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 acquires comprehensive and complex knowledge of the diagnostics which can apply in industrial mechanical/electrical engineering practice to solve different problems related to the aforementioned topics.

Prerequisites

Knowledge of mathematics and physics on the level of the bachelor studies completed so far is assumed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The methods of teaching depend on the teaching practice, and those are described in the Study and Test Guideline, Article 7, at Brno University of Technology.

Assesment methods and criteria linked to learning outcomes

The subject consists of lectures completed by an examination. The examination is based on a written test, and the student 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 theoretical and practical knowledge of the diagnostics of technical systems.

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

Only knowledge of the students shall be verified in the examination.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme N3901-2 Master's

    branch M-MŘJ , 1 year of study, summer semester, compulsory

  • Programme N2301-2 Master's

    branch M-KSB , 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

doc. Ing. Miloš Hammer, CSc.

Syllabus

1. Introduction to technical diagnostics – definition, basics terms
2. Diagnostic tools, technical conditions of objects, failure, fault, operability, functionality, and object maintenance
3. Diagnostic model – definition, classification
4. Diagnostic model – properties
5. Recognition in diagnostics
6. Classification in statistical methods
7. Diagnostic system
8. Construction diagnostic system
9. Application of artificial intelligence in diagnostics
10. Neural networks in technical diagnostics
11. Fuzzy sets and fuzzy logics in technical diagnostics
12. Expert systems in technical diagnostics
13. Method classification in technical diagnostics, standards and legislation about diagnostic