Course detail
Advanced Diagnostics of Technical Systems
FSI-9PDT Acad. year: 2025/2026 Both semester
The subject deals with the advanced diagnostics of technical systems which are used in mechanical and power engineering practice. The subject is based on the theoretical principles of technical diagnostics, and moreover, it includes the modern and advanced approaches. Among them, the application of appropriate methods of diagnostic quantity analysis and the mathematical methods of diagnoses and classifications are involved. The content of subject is also focused on the detection and the localization of failures, that is, the modern and advanced diagnostic procedures and methods are presented.
Language of instruction
Czech
Supervisor
Entry knowledge
Knowledge of high-school mathematics, physics and electrical engineering including the principal knowledge of the technical diagnostics is expected.
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 purpose of the subject is to provide the students with the theoretical and practical knowledge of the diagnostics of technical systems.
In compliance with the description mentioned above, the students will benefit from large and complex knowledge of the diagnostics of technical systems, and they will be able to contribute to the solutions of different diagnostic problems in industrial mechanical and electrical engineering practice.
The study programmes with the given course
Programme D-KPI-P: Design and Process Engineering, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
Content of lectures:
1. Introduction into technical diagnostics – basic definitions
2. Diagnostic signal, its description and analysis, noise reduction, filtration, amplitude modulation, blind signal processing
3. Analysis in technical diagnostics, classification and estimate, symptoms, statistical classification methods
4. Artificial intelligence in diagnostics
5. Vibrodiagnostics – basic definitions; offset, position, shift, velocity, acceleration and speed sensors
6. Vibrodiagnostics – signal analysis
7. Noise diagnostics, acoustic emission
8. Interferometry in flaw detection, ultrasonic defectoscopy
9. Magnetic defectoscopy, electromagnetic flaw detection, industrial radiology
10. Potentiometry, capillary defectoscopy, thermography