Multiparametric Diagnostics of Technical Systems (FSI-9MDT)

Academic year 2025/2026
Supervisor: doc. Ing. Miloš Hammer, CSc.  
Supervising institute: ÚAI all courses guaranted by this institute
Teaching language: Czech or English
Aims of the course unit:
 
Learning outcomes and competences:
 
Prerequisites:
 
Course contents:

The course is focused on multiparametric diagnostics of technical systems. Attention is paid first to introduction to technical diagnostics. Furthermore, sensor technology is briefly mentioned as an important part of technical diagnostics. The student is also acquainted with the processing of diagnostic signal. Subsequently, vibrodiagnostics is analyzed in detail with emphasis on the basics of diagnostics of various defects such as static, dynamic and moment imbalance, angular and axial misalignment, bent shaft, eccentric rotor, mechanical release. These are defects that can cause the entire technical system to be taken out of operation and thus cause significant, especially economic, losses. Diagnostics of bearings, pumps, compressors, etc. is also being solved. At present, electro-diagnostics is used within the multi-parameter diagnostics, which is a very promising diagnostic method for describing the state of technical systems. The same can be said about thermodiagnostics, tribodiagnostics, etc. All of this is part of a modern approach, namely the use of multiparametric diagnostics. Therefore, the student will also become acquainted in detail in practical and theoretical terms with the creation of a protocol from the diagnostic investigation of a particular selected technical system. A modern approach to multiparametric diagnostics is not possible without on-line diagnostics, which has become increasingly important especially in terms of methodology, hardware and software. There are many problems associated with this, such as analysis, automation and visualization of big data. Attention is also paid to the use of new modern trends such as digital twin. In the field of multiparametric diagnostics, the use of various methods of artificial intelligence and machine learning is promising.
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:
 
Controlled participation in lessons:
 
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture

1. Introduction to technical diagnostics - basic terms, diagnostic quantity, diagnostic device and system. Diagnostic chain. Classification of technical diagnostics according to diagnostic quantity, description. Off-line and on-line diagnostics. Patient diagnostics - analysis, diagnostic tools, properties. Multiparametric diagnostics. On-line diagnostics. Standards of technical diagnostics.
2. Sensors, sensor functions, classification, sensor development, parameters, smart sensors, measuring chain, sensors in diagnostic practice.
3. Diagnostic signal, its description and analysis. Methods of signal analysis. Fourier transform, description of FFT calculation methods, description of signal characteristics, procedure of measurement and evaluation of spectra and frequency characteristics. Theory of analytical signal, Hilbert transform.
4. Vibrodiagnostics. Mechanical vibration of technical systems. Sensors, signal classification, FFT algorithm, measurement and evaluation of signal spectrum, principles of measuring point selection.
5. Vibrodiagnostics. Basic methods of vibration diagnostics, frequency analysis using FFT, vibration power, vibration trend, cepstral analysis, orbital analysis, modal analysis, method of visualization of operating modes of oscillations, phase measurement.
6. Fundamentals of fault diagnostics using vibrodiagnostics - static, dynamic and torque imbalance, angular and axial misalignment, bent shaft, eccentric rotor, mechanical release, toothed and belt gears, rolling and plain bearings, pumps, compressors etc.
7. Electrodiagnostics. Disorders and their detection. Operational diagnostics of rotating electrical machines (rotor rod interruption, motor misalignment, stator current analysis, threaded short circuits). Winding diagnostics methods. Other manifestations of electrical equipment operation - bearing currents, shaft voltage. Diagnostics of transformers. Cable diagnostics. Diagnostics of DC machines. Electrical discharges and their diagnostics in electrical equipment.
8. Thermodiagnostics - contact and contactless. Diagnostic tools and their properties. Thermal Imagers. Tribodiagnostics - oils and lubricants, machinery and equipment - temperature field. On-line tribodiagnostics. Noise diagnostics. Assembly and optical diagnostics.
9. Complex assessment of technical systems. Multiparametric diagnostics. Processing protocols from diagnostic examinations - rules, procedures, creation of a report based on the assessment of the status of a particular system Conclusions for further operation of technical systems, lifetime, maintenance. Maintenance design within modern approaches and methods.
10. On-line device diagnostics. Evaluation units. Dispatch PC, OPC server-visualization. Internal independent enterprise network. Server, evaluation SW. GSM Router. Internet, ethernet. Remote monitoring and management of the online system. Analysis and evaluation of the obtained data. Tools for analysis, automation and visualization of big data (big data). Digital twin, use in diagnostics and maintenance of technical systems. Artificial intelligence and machine learning. Edge computing.
Literature - fundamental:
1. KREIDL, Marcel a ŠMÍD, Radislav. Technická diagnostika. 4. díl, senzory neelektrických veličin: senzory-metody-analýza signálu. 1. vyd. Praha: BEN – technická literatura, 2006. 408 s. ISBN 80-7300-158-6.
2. KADLEC, Karel a kolektiv. Měření a řízení chemických, potravinářských a biotechnologických procesů. Díl I. Provozní měření. 1. vyd. Ostrava: Key publishing s.r.o., 2017. 584 s. ISBN 978-80-7418-284-6.
3. FRADEN, Jacob. Handbook of Modern Sensors: Physics, Designs and Applications. Fifth Edition. Springer International Publishing Switzerland, 2016. 758 p. ISBN 978-3-319-19302-1.
4. LEGÁT, Václav a kol. Management a inženýrství údržby. 2. doplněné vyd. Příbram: Kamil Mařík PBtisk, 2016. 622 s. ISBN 978-80-7431-163 -2.
5. HELEBRANT, František a ZIEGLER, Jiří. Technická diagnostika a spolehlivost II. Vibrodiagnostika. Ostrava: VŠB - Technická univerzita Ostrava, 2004.173 s. ISBN 80-248-0650-9.
6. ZIEGLER, Jiří, HELEBRANT, František a MARASOVÁ, Daniela. Technická diagnostika a spolehlivost. Tribodiagnostika. Ostrava: VŠB - Technická univerzita Ostrava, 2001. 155 s. ISBN 80-7078-883-6.
7. HRABEC, Ladislav, HELEBRANT, František a MAZALOVÁ, Jana. Technická diagnostika a spolehlivost III. Ustavování strojů. Ostrava: VŠB - Technická univerzita Ostrava, 2007. 91 s. ISBN 978-80-248-1449-0.
8. JAMRICHOVÁ, Zuzana a kolektiv. Diagnostika strojov a zariadení. 1. vyd. Žilina: EDIS – vydavatel´stvo Žilinskej univerzity, 2011. 281 s. ISBN 978-80-554-0385-4.
9. CZICHOS, Horst. Handbook of Technical Diagnostics. 1. vyd. Berlin: Springer-Verlag Berlin Heidelberg, 2010. 566 s. ISBN 978-3-642-25849-7.
Literature - recommended:
10. KADLEC, Karel a kolektiv. Measurement and Control of Chemical, Food and Biotechnological Processes. Volume I. Process Measurememnt. 1. vyd. Ostrava: Key publishing s.r.o., 2019. 610 s. ISBN 978-80-7418-306-5.
11. TŮMA, Jiří. Zpracování signálů z mechanických systémů užitím FFT. 1. vyd. Praha: Sdělovací technika, 1997. 174 s. ISBN 80-901936-1-7.
12. ŽIARAN, Stanislav. Nízkofrekvenčný hluk a kmitanie. 1. vyd. Bratislava: Slovenská technická univerzita v Bratislave, vydavateľstvo STU, 2016. 316 s. ISBN 978-80-227-4536-9.
13. SMETANA, Ctirad a kolektiv. Hluk a vibrace, měření a hodnocení. 1. vyd. Praha: Sdělovací technika, 1998. 188 s. ISBN 80-901936-2-5.
14. ŽIARAN, Stanislav. Technická diagnostika. 1. vyd. Bratislava: Slovenská technická univerzita v Bratislave, vydavateľstvo STU, 2013. 332 s. ISBN 978-80-227-4051-7.
15. PEŤKOVÁ, Viera a SVOBODA, Jiří. Termodiagnostika. 1. vyd. Košice: Vydavateľstvo VIENALA, 2016. 310 s. ISBN 978-80-8126-132-9.
16. PEŤKOVÁ, Viera a kolektiv. Tribotechnika v teórii a praxi. 1. vyd. Košice: Vydavateľstvo VIENALA, 2012. 366 s. ISBN 978-80-8126-057-5.
17. HAMMER,M. Metody umělé inteligence v diagnostice elektrických strojů. 1.vydání. Praha: BEN-technická literatura, 2009,400 s. ISBN 978-80-7300-231-2.
18. TAYLOR,J.I. The Vibration Analysis Handbook. 1. vydání. Tampa: Vibration Consultants, 2003,375 s.ISBN 0-9540517-2-9.
19. BERNARD,K.aj. Nedestruktivní zkoušení materiálů a konstrukcí. 1.vydání. Brno: Akademické nakladatelství CERM, 2008,ISBN 978-80-7204-591-4.
20. DUFFUAA, S. O., RAOUF, A. Planning and Control of Maintenance Systems. Modelling a Analysis. 2. vydání. Springer International Publishing AG, Switzerland, 2016. 348 s. ISBN 9783319371818.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-KPI-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 S