Course detail

Advanced Diagnostics of Technical Systems

FSI-9PDTAcad. year: 2020/2021

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

Number of ECTS credits

0

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

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.

Prerequisites

Knowledge of high-school mathematics, physics and electrical engineering including the principal knowledge of the technical diagnostics is expected.

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 purpose of the subject is to provide the students with the theoretical and practical knowledge of the diagnostics of technical systems.

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. and RAOUF, A. Planning and Control of Maintenance Systems. Modelling a Analysis. 2. vydání. Springer International Publishing AG, Switzerland, 2016. 348 s. ISBN 9783319371818. (EN)
BERNARD,K.aj. Nedestruktivní zkoušení materiálů a konstrukcí. 1.vydání. Brno: Akademické nakladatelství CERM, 2008, ISBN 978-80-7204-591-4. (CS)
TAYLOR,J.I. The Vibration Analysis Handbook. 1. vydání. Tampa: Vibration Consultants, 2003, 375 s.ISBN 0-9540517-2-9. (EN)
HAMMER, M. Metody umělé inteligence v diagnostice elektrických strojů. 1.vydání. Praha: BEN-technická literatura, 2009, 400 s. ISBN 978-80-7300-231-2. (CS)
KREIDEL,M. a ŠMÍD,R. Technická diagnostika. 1.vydání. Praha: BEN-technická literatura,2006,408 s. ISBN 80-7300-158-6. (CS)
KREIDEL,M., PETR,J. aj. Diagnostické systémy. 1. vydání. Praha: Vydavatelství ČVUT, 2001, 408 s. ISBN 80-01-02349-4. (CS)
HLAVÁČ, V. a SEDLÁČEK, M. Zpracování signálů a obrazů. Praha: Vydavatelství ČVUT, 2005. ISBN 80-01-03110-1. (CS)

Recommended reading

DUFFUAA, S. O. and RAOUF, A. Planning and Control of Maintenance Systems. Modelling a Analysis. 2. vydání. Springer International Publishing AG, Switzerland, 2016. 348 s. ISBN 9783319371818. (EN)
NOVÝ, R. Hluk a chvění. 1. vydání. Praha: Vydavatelství ČVUT, 1995, 205 s. ISBN 80-01-01306-5. (CS)

Classification of course in study plans

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

Type of course unit

 

Lecture

20 hours, optionally

Teacher / Lecturer

doc. Ing. Róbert Jankových, CSc.

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