Ing. Daniel Zuth, Ph.D.
E-mail:   zuth@fme.vutbr.cz  WWW:   http://www.vyuka.zuth.cz Dept.:   Institute of Production Machines, Systems and Robotics Dept. of Electrical Engineering Position:   Assistant Professor Room:   A1/1126

Supervised courses:

• Data Processing (GSZ)
• Data Processing (GSZ-K)
• Information Systems and Computer Networks (GIF)
• Information Systems and Computer Networks (GIF-K)
• Intelligent Manufacturing Systems (GIS)
• Intelligent Manufacturing Systems (GIS-K)
• Operation, Maintenance and Reliability of Machines (EPS)
• Operation, Maintenance and Reliability of Machines (EPS-K)
• Reliability and Maintenance of Technical Systems (XS1)
• Reliability and Maintenance of Technical Systems (XS1-K)
• Technical Diagnostic Fundamentals (CTD)
• Technical Diagnostics I (XT1)
• Technical Diagnostics I (XT1-K)
• Technical Diagnostics II (XT2)
• Technical Diagnostics II (XT2-K)

Publications:

• ZUTH, D.:
  Ukázka využití strojového učení ve vibrodiagnostice,
  Řézení&údržba průmyslového podniku, pp.14-16, ISSN 1803-4535, Trade Media International s.r.o.
  journal article - other
• ZUTH, D.; MARADA, T.:
  Comparison of Faults Classification in Vibrodiagnostics from Time and Frequency Domain Data,
  Mechatronika 2018, pp.482-487, ISBN 978-80-214-5543-6, (2018)
  conference paper
  akce: 18th International Conference on Mechatronics – Mechatronika 2018, Brno, 05.12.2018-07.12.2018
• ZUTH, D.; MATYÁŠ, P.; SVOBODOVÁ, S.:
  Sběr teplotních údajů při použití jednodeskového počítače,
  Automa, Vol.21, (2015), No.1, pp.48-50, ISSN 1210-9592, FCC Public
  journal article - other
• ZUTH, D.; VDOLEČEK, F.; ROJKA, A.:
  Zásadní vliv snímače na výslednou nejistotu diagnózy,
  Automa, Vol.16, (2010), No.12, pp.29-30, ISSN 1210-9592, FCC Public
  journal article - other
• ZUTH, D.; VDOLEČEK, F.:
  Analýza nejistot ve vibrodiagnostice,
  Automa, Vol.16, (2010), No.7, pp.41-45, ISSN 1210-9592, FCC Public
  journal article - other
• ZUTH, D.; VDOLEČEK, F.:
  Zdroje nejistot ve vibrodiagnostice,
  Automa, Vol.16, (2010), No.6, pp.40-42, ISSN 1210-9592, FCC Public
  journal article - other
• ZUTH, D.:
  Využití snímačů typu umělá kůže, Asociace technických diagnostiků České republiky, o.s.
  abstract

List of publications at Portal BUT

Abstracts of most important papers:

• ZUTH, D.:
  Ukázka využití strojového učení ve vibrodiagnostice,
  Řézení&údržba průmyslového podniku, pp.14-16, ISSN 1803-4535, Trade Media International s.r.o.
  journal article - other
  The article deals with the possibility of using machine learning in vibrodiagnostics to determine the type of fault of rotating machine. The data source are real measured data from the vibrodiagnostic model, this model allows simulation of some types of faults.. The data is then processed and reduced for the use of the Matlab Classification learner app, which creates a model for recognizing faults. The model is ultimately tested on a new sample of data. The aim of the article is to verify the ability to recognize similarly rotary machine faults from real measurements in time domain.
• ZUTH, D.; MARADA, T.:
  Comparison of Faults Classification in Vibrodiagnostics from Time and Frequency Domain Data,
  Mechatronika 2018, pp.482-487, ISBN 978-80-214-5543-6, (2018)
  conference paper
  akce: 18th International Conference on Mechatronics – Mechatronika 2018, Brno, 05.12.2018-07.12.2018
  The paper deals with the comparison of the success rate of classification models from Matlab Classification Learner app. Classification models will compare data from the frequency and time domain, the data source is the same. Both data samples are from real measurements on the vibrodiagnostics model. Five basic faults are recognized, namely, the static unbalances at two levels, the dynamic unbalances at two levels and the faultless state. The data is then processed and reduced for the use of the Matlab Classification Learner app, which creates a model for recognizing faults. The aim of the paper is to compare the success rate of classification models when the data source is dataset in time or frequency domain.
• ZUTH, D.; MARADA, T.:
  Utilization of Machine Learning in Vibrodiagnostics,
  Recent Advances in Soft Computing, pp.271-278, ISBN 978-3-319-97887-1, (2018), Springer Verlag
  journal article in Scopus
  The article deals with possibilities of use machine learning in vibrodiagnostics to determine a fault type of the rotary machine. Sample data are simulated according to the expected vibration velocity waveform signal at a specific fault. Then the data are pre-processed and reduced for using Matlab Classification Learner which creates a model for identifying faults in the new data samples. The model is finally tested on a new sample data. The article serves to verify the possibility of this method for later use on a real machine. In this phase is tested data preprocessing and a suitable classification method.
• ZUTH, D.:
  Using HIL Simulation and Genetic Algorithms for Controller Tuning
  journal article in Scopus
  This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with dierent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.
• VDOLEČEK, F.; ZUTH, D.:
  Examples of Uncertainties Analyze in Vibration Diagnostics and Acoustics,
  Akustika, Vol.14, (2010), No.14/2010, pp.40-44, ISSN 1801-9064, Akustika -D studio
  journal article - other
  The measurement in acoustics and vibration diagnostics branches are very conformable reciprocally often. The paper presents short reflections above measurement uncertainties sources on vibration measurement result. More detailed modeling uncertainties analyses were implemented on authors' workplace for vibro-diagnostics system. The article presents some interesting results of these uncertainties analysis and it is completing liberal to papers line from last years of this seminar thus.