Modern Access to Diagnostics and Working Life of Technical Systems (FSI-9MPD)

Academic year 2022/2023
Supervisor: doc. Ing. Róbert Jankových, CSc.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech or English
Aims of the course unit:
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.
Learning outcomes and competences:
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.
Course contents:

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. The teaching of the subject is supplemented by specific cases of verification of modern approaches in diagnostics and determination of lifetime of selected technical equipment.
Teaching methods and criteria:
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.
Controlled participation in lessons:
The subject consists of lectures and consultations, the students’ participation shall be checked.
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture

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 modern approaches in diagnostics and lifetime determination 
Literature - fundamental:
1.

LEES, Arthur W. Vibration problems in machines: diagnosis and resolution. 2. Boca Raton: CRC Press, 2020. ISBN 978-0-429-35137-2.
2. 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.
3. HAMMER,Miloš. Metody umělé inteligence v diagnostice elektrických strojů. 1. vydání. Praha: BEN – technická literatura, 2009. 400 s. ISBN 978-80-7300-231-2.
4. 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.
Literature - recommended:
1. KREIDL, M.; ŠMÍD, R. Technická diagnostika. Senzory-metody-analýza signálu. 1. vydání. Praha: BEN – technická literatura, 2006. 408 s. ISBN 80-7300-158-6.
2. RENYAN J. Introduction to Quality and Reliability Engineering. Springer (Springer Series in Reliability Engineering), 2015. 326 s. ISBN 3662472155.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-KPI-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 S
D-KPI-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 S