Course detail
Modern Access to Diagnostics and Working Life of Technical Systems
FSI-9MPD Acad. year: 2024/2025 Both semester
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
Czech
Supervisor
Entry knowledge
To study this subject, the principles of diagnostics, reliability, life and artificial intelligence as the basic knowledge are recommended.
Rules for evaluation and completion of the course
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.
The subject consists of lectures and consultations, the students’ participation shall be checked.
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.
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.
The study programmes with the given course
Programme D-KPI-K: Design and Process Engineering, Doctoral, recommended course
Programme D-KPI-P: Design and Process Engineering, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
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