Course detail

Industrial Systems Diagnostics

FSI-VMDAcad. year: 2026/2027

Study supports and study materials for the course are listed in the course literature. This information is also published in e-learning. This is also discussed in detail in the introductory lecture of the course and in the first laboratory exercise (in the combined form of study in the first consultation or laboratory exercise of the course).

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Zdeněk Hadaš, Ph.D.

Department

Institute of Automation and Computer Science (ÚAI)

Entry knowledge

Basic knowledge of physics, mathematics, statistics, electrical engineering and mechanics is assumed, at the level of completed subjects within the university studies.

Rules for evaluation and completion of the course

The laboratory exercise ends with a credit (it is awarded in the 13th teaching week). In order to obtain it, 100% participation in the exercises, activity in the exercises and preparation, submission and recognition by the teacher of protocols (reports) from all prescribed laboratory exercises are required. In the event of a student's absence from the exercise, his/her replacement is required, the method of replacement will be determined by the relevant teacher or subject guarantor. Further details are communicated and explained to students at the beginning of the semester. Obtaining a credit is a necessary condition for participation in the exam. The exam consists of a written part followed by an oral interview. In the written part, the student processes the five assigned questions. Orientation in the studied issue is checked in the oral part. The evaluation of the written part, the oral part and the overall evaluation of the exam is given by the classification scale according to ECTS.

Aims

The aim of the subject is to acquire comprehensive theoretical and above all practical knowledge and experience in the field of diagnostics and maintenance of industrial systems.

Study aids

Study supports and study materials for the course are listed in the course literature. This information is also published in e-learning. This is also discussed in detail in the introductory lecture of the course and in the first laboratory exercise (in the combined form of study in the first consultation or laboratory exercise of the course).

Prerequisites and corequisites

Not applicable.

Basic literature

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)
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)
NĚMEČEK, Pavel. Nejistoty měření. 1. vyd. Praha: Česká společnost pro jakost, 2008. 98 s. ISBN 978-80-02-02089-9. (CS)
PEŤKOVÁ, Viera a SVOBODA, Jiří. Termodiagnostika. 1. vyd. Košice: Vydavateľstvo VIENALA, 2016. 310 s. ISBN 978-80-8126-132-9. (SK)
TŮMA, Jiří. Zpracování signálů z mechanických systémů užitím FFT. 1. vyd. Praha: Sdělovací technika, 1997. 174 s. ISBN 80-901936-1-7. (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

CZICHOS, Horst. Handbook of Technical Diagnostics. 1. vyd. Berlin: Springer-Verlag Berlin Heidelberg, 2010. 566 s. ISBN 978-3-642-25849-7. (EN)
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)
SMETANA, Ctirad a kolektiv. Hluk a vibrace, měření a hodnocení. 1. vyd. Praha: Sdělovací technika, 1998. 188 s. ISBN 80-901936-2-5. (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)

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Ing. Zdeněk Hadaš, Ph.D.

Syllabus

  1. Meaning of technical diagnostics, basic terms and terminology. Division of technical diagnostics according to various criteria.
  2. Signal analysis used in diagnostics. Signal - distribution and description. Measuring string, channel. Multifunctional measuring cards. Signal analyzers. Measurement interference. Digitization of analog signals. Quantization and sampling. Frequency analysis. Fourier transform. DFT and FFT transformations. Aliasing. Leakage error. Examples of analyzers used in diagnostics of industrial systems.
  3. Causes of failures of technical equipment. Failure - mechanism and causes of failure. Wear and tear. Other causes of malfunctions. Fault, defect, damage.
  4. Non-destructive testing (NDT). Purpose, selected methods and techniques of NDT. Damage, failures (defects) of bearings.
  5. Technical diagnostics. Diagnosability. Diagnosis. Fault, defect. Diagnostic quantity, means, system. Diagnostician. Division of technical diagnostics according to diagnostic quantity and device. Multiparametric diagnostics. Models of diagnosed objects.
  6. Current trends in technical diagnostics. Remote monitoring, online system management, data evaluation, visualization. Diagnostic expert system. Artificial intelligence, use of fuzzy sets and neural networks.
  7. Vibrodiagnosis. Vibration. Measured quantities - deflection, speed, acceleration. Vibration measurement-vibrometers, vibrometers, analyzers. Vibration sensors and their properties. MEMS accelerometers. Calibration curve, sensor sensitivity. Attaching sensors. Vibrations measured on non-rotating machine parts.
  8. Vibrodiagnosis. Vibration assessment. Frequency analysis. Analyzer settings. Spectrum analysis methods. Cascade diagrams. Phase shift. Acceleration envelope. Spectrograph. Cepstral analysis. Alternative methods for measuring the technical condition of rolling bearings. Orbital analysis. Modal analysis. A method of making visible the operating shapes of oscillations. Phase measurement. On-line vibration diagnostics. Trends in vibrodiagnostics. Online vibration systems from various companies. On-line vibration system - SIPLUS CMS system.
  9. Basics of fault diagnosis. Static, dynamic and torque unbalance, fly-mounted rotor, misalignment. Bent shaft, eccentric rotor. Gear and belt transmissions. Pumps and compressors. Resonance. Electric motors. Operational vibrodiagnostics – balancing, setting up, vibrodiagnostics of rolling bearings, diagnostics of electric motors, transmissions, machine systems.
  10. Electrodiagnosis. Electrical devices and their diagnostics. Diagnostics of asynchronous motors - faults and failures, FFT analysis of the stator current, diagnostic methods focused on the machine winding, measurement of short circuit between windings and phases. Diagnostics of transformers, partial discharges and insulating liquids. Cable diagnostics.
  11. Thermodiagnostics. Passive and active thermography. Noise diagnostics. Acoustic emission. Ultrasound.
  12. Tribodiagnostics. Diagnostics of the state of wear of machine components. Lubricant degradation diagnostics. Assembly and optical measurement.
  13. Reliability of elements and systems. Restorable and non-restorable object. Repairable and non-repairable object. Reliability indicators. Methods of increasing reliability. Maintenance. Maintenance generation. Breakdown of maintenance. Modern approaches in maintenance. Total Productive Maintenance (TPM). Virtual and augmented reality. Digital twin. Edge computing. 

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer

prof. Ing. Zdeněk Hadaš, Ph.D.

Syllabus

  1. Off-line diagnostics, on-site diagnostics, vibration analyzers.
  2. Vibration measurement with the A4500-VA5 Pro analyzer. DDS software. VIRTUAL UNIT environment emulator.
  3. Vibration measurement and evaluation with the A4500-VA5 Pro analyzer.
  4. On-line vibration systems. Overview, practical use.
  5. On-line vibration systems (Simotics Connect 400), description, use, data.
  6. SIPLUS CMS vibration system, description, analysis, practical use.
  7. SIPLUS CMS system - measurement and data processing.
  8. Vibration evaluation using neural networks, fuzzy systems and expert systems.
  9. Electrodiagnostics of machines and equipment, practical measurements.
  10. Thermal diagnostics, use, practical activities.
  11. Multiparametric diagnostics and diagnostic protocol.
  12. Maintenance, TPM method (total productive maintenance), solution of real cases from industrial practice. Predictive maintenance. OMEGA-predictive maintenance.
  13. Reliability of elements and systems. Examples from practice.