Course detail
Modern Access to Diagnostics and Working Life of Technical Systems
FSI-9MPDAcad. year: 2023/2024
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.
Language of instruction
Mode of study
Guarantor
Entry knowledge
Rules for evaluation and completion of the course
The subject consists of lectures and consultations, the students’ participation shall be checked.
Aims
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.
Study aids
Prerequisites and corequisites
Basic literature
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)
LEES, Arthur W. Vibration problems in machines: diagnosis and resolution. 2. Boca Raton: CRC Press, 2020. ISBN 978-0-429-35137-2. (EN)
Recommended reading
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
Type of course unit
Lecture
Teacher / Lecturer
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 modern approaches in diagnostics and lifetime determination