Course detail

Modern Access to Diagnostics and Working Life of Technical Systems

FSI-9MPDAcad. year: 2021/2022

The subject is focused on the advanced approaches in the diagnostics of the life of technical systems. It is a follow-up to the basic theory of technical diagnostics, life and reliability. The basic knowledge is extended by the modern approaches, for example, theory of recognition, statistic methods of classification and especially the applications of neuron networks, fuzzy systems, fuzzy-neuron networks and expert systems in the diagnostics. Attention is also concentrated on technical prediction and its significance for the life estimate of technical systems. Teaching is completed with the specific cases of verification of the advanced approaches in the diagnostics of the life of selected technical systems.

Language of instruction

Czech, English

Mode of study

Not applicable.

Guarantor

doc. Ing. Róbert Jankových, CSc.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Learning outcomes of the course unit

The students will familiarize with knowledge in the branch of the diagnostics and the life of technical systems, namely the methods based upon the artificial intelligence. In the framework of the subject, the students will learn to assess the life of technical equipment by using the modern method on the specific examples from technical practice.

Prerequisites

To study this subject, the principles of diagnostics, reliability, life and artificial intelligence as the basic knowledge are recommended.


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 prescribed scope must be studied by the students to go in an examination. The examination consists of a written test, and the maximum scoring rate of this test is 100.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The objective of this course is the practical verification of the advanced methods in the diagnostics and the life estimate of technical systems in practical terms.



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

The subject consists of lectures and consultations, the students’ participation shall be checked.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DUFFUAA, S. O., RAOUF, A. Planning and Control of Maintenance Systems. Modelling and Analysis. 2. vydání. Springer International Publishing AG, Switzerland, 2016. 348 s. ISBN 9783319371818. (EN)
HAMMER,M.: Expertní systémy v diagnostice izolačních systémů elektrických strojů pro energetické a strojírenské aplikace. Odborná příručka. 155 stran. Brno 2005. ISBN 80-214-3120-0. (CS)
HAMMER,Miloš. Metody umělé inteligence v diagnostice elektrických strojů. 1. vydání. Praha: BEN – technická literatura, 2009. 400 s. ISBN 978-80-7300-231-2. (CS)

Recommended reading

KREIDL, M.; ŠMÍD, R. Technická diagnostika. Senzory-metody-analýza signálu. 1. vydání. Praha: BEN – technická literatura, 2006. 408 s. ISBN 80-7300-158-6. (CS)
RENYAN J. Introduction to Quality and Reliability Engineering. Springer (Springer Series in Reliability Engineering), 2015. 326 s. ISBN 3662472155. (EN)

Classification of course in study plans

  • Programme D-KPI-P Doctoral 1 year of study, summer semester, recommended course
  • Programme D-KPI-K Doctoral 1 year of study, summer semester, recommended course

Type of course unit

 

Lecture

20 hod., optionally

Teacher / Lecturer

doc. Ing. Róbert Jankových, CSc.

Syllabus

1. Diagnostics and life of technical systems, the summary of the basic principles related to technical risks
2. Advanced approaches in the diagnostics and the life of technical systems
3. Recognition in technical diagnostics
4. Statistical methods of classification
5. Neuron networks in the diagnostics
6. Fuzzy systems in the diagnostics
7. Fuzzy – neuron systems in the diagnostics
8. Diagnostic expert systems
9. Technical prediction, life
10. Application of artificial intelligence in the life prediction of technical systems
11. Verification of the advanced approaches in the diagnostics and the life estimate for the selected engineering systems
12. Verification of the advanced approaches in the diagnostics and the life monitoring in the selected electrical engineering systems
13. Verification of the advanced approaches in the diagnostics and the life estimate in power engineering