Course detail

Multiparametric Diagnostics of Technical Systems

FSI-9MDTAcad. year: 2023/2024

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.

Language of instruction

Czech

Mode of study

Not applicable.

Guarantor

doc. Ing. Miloš Hammer, CSc.

Department

Institute of Automation and Computer Science (ÚAI)

Entry knowledge

Prerequisites and co-requisites knowledge of high school mathematics, physics, electrical engineering is expected and basic knowledge of automation and eventually computer science is welcome.

Rules for evaluation and completion of the course

For the exam students study the prescribed substance. Further, they will elaborate in writing to a specified extent a specific topic from the field of multiparametric diagnostics, whose defense is part of the oral exam. Oral exam takes place after defending a written topic in the field of multiparametric diagnostics in the form of a discussion over problems according to the syllabus of the subject.


The course is realized in the form of lectures, consultations and self-study is required. Consultations should be attended in order to master the required curriculum. Consultations are checked.

Aims

Learning outcomes of the course unit The aim of the course is to gain theoretical and practical knowledge and experience in the field of diagnostics of technical systems with emphasis on new modern approaches and procedures.


In the sense of the annotation and syllabus, the student will gain extensive and comprehensive knowledge in the field of multiparametric diagnostics of technical systems, which will enable him to eruditely engage in the solution of various technical problems in industrial engineering and electrical engineering practice.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

CZICHOS, Horst. Handbook of Technical Diagnostics. 1. vyd. Berlin: Springer-Verlag Berlin Heidelberg, 2010. 566 s. ISBN 978-3-642-25849-7. (EN)
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. (EN)
HELEBRANT, František a ZIEGLER, Jiří. Technická diagnostika a spolehlivost II. Vibrodiagnostika. Ostrava: VŠB - Technická univerzita Ostrava, 2004.173 s. ISBN 80-248-0650-9. (CS)
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. (CS)
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. (SK)
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. (CS)
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. (CS)
LEGÁT, Václav a kol. Management a inženýrství údržby. 2. doplněné vyd. Příbram: Kamil Mařík PBtisk, 2016. 622 s. ISBN 978-80-7431-163 -2. (CS)
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. (CS)

Recommended reading

BERNARD,K.aj. Nedestruktivní zkoušení materiálů a konstrukcí. 1.vydání. Brno: Akademické nakladatelství CERM, 2008,ISBN 978-80-7204-591-4. (CS)
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. (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)
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. (EN)
PEŤKOVÁ, Viera a kolektiv. Tribotechnika v teórii a praxi. 1. vyd. Košice: Vydavateľstvo VIENALA, 2012. 366 s. ISBN 978-80-8126-057-5. (SK)
PEŤKOVÁ, Viera a SVOBODA, Jiří. Termodiagnostika. 1. vyd. Košice: Vydavateľstvo VIENALA, 2016. 310 s. ISBN 978-80-8126-132-9. (SK)
SMETANA, Ctirad a kolektiv. Hluk a vibrace, měření a hodnocení. 1. vyd. Praha: Sdělovací technika, 1998. 188 s. ISBN 80-901936-2-5. (CS)
TAYLOR,J.I. The Vibration Analysis Handbook. 1. vydání. Tampa: Vibration Consultants, 2003,375 s.ISBN 0-9540517-2-9. (EN)
TŮMA, Jiří. Zpracování signálů z mechanických systémů užitím FFT. 1. vyd. Praha: Sdělovací technika, 1997. 174 s. ISBN 80-901936-1-7. (CS)
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. (SK)
ŽIARAN, Stanislav. Technická diagnostika. 1. vyd. Bratislava: Slovenská technická univerzita v Bratislave, vydavateľstvo STU, 2013. 332 s. ISBN 978-80-227-4051-7. (SK)

Classification of course in study plans

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

Type of course unit

 

Lecture

20 hod., optionally

Teacher / Lecturer

doc. Ing. Miloš Hammer, CSc.

Syllabus

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 diagnostics of equipment. Evaluation units. Dispatching PC, OPC server-visualization. Internal independent enterprise network. Server, evaluation SW. GSM Router. Internet, Ethernet. Remote monitoring and administration of on-line system. Analysis and evaluation of acquired data. Tools for big data analysis, automation and visuali