doc. Ing. Miloš Hammer, CSc.
E-mail:   hammer@fme.vutbr.cz  Dept.:   Institute of Automation and Computer Science Dept. of Automation Position:   Associate Professor Room:   A1/0625

Supervised courses:

• Applied Electronics and Electric Actuators (VAP)
• Applied Electronics and Electric Actuators (VAP-A)
• Applied Electronics and Electric Actuators (VAP-K)
• Competence in Electrical Engineering (VE0)
• Multiparametric Diagnostics of Technical Systems (9MDT)
• Sensorics, Measurment and Industrial Diagnostics (VMD)
• Sensorics, Measurment and Industrial Diagnostics (VMD-K)
• Technical Measurement (VTM)
• Technical Measurement (VTM-K)

Publications:

• HAMMER, M.; NAHODIL, P.:
  Elektrodiagnostika jako součást multiparametrické diagnostiky v průmyslové praxi, Trade Media International,s.r.o
  review
• NAHODIL, P.; HAMMER, M.:
  Analýza statorového proudu asynchronního motoru při různých zatíženích a poruchách, VŠB TU Ostrava
  article in a collection out of WoS and Scopus
• HAMMER, M.; OPOČENSKÁ, H.; TŮMA, Z.:
  Audit provozu KFT s ohledem na jeho údržbu, VUT Brno
  report
• HOLUB, O.; HAMMER, M.:
  DIAGNOSTICS AND MAINTENANCE OF MACHINE TOOL SPINDLES- NEW VIEWS , MM publishing, s.r.o. (2017)
  journal article in Scopus
• NAHODIL, P.; HAMMER, M.:
  SELECTED CHARACTERISTICS AND DIAGNOSTICS OF MOTOR POWERED BY FREQUENCY CONVERTER , MM publishing, s.r.o. (2017)
  journal article in Scopus
• OPOČENSKÁ, H.; NAHODIL, P.; HAMMER, M.:
  USE OF MULTIPARAMETRIC DIAGNOSTICS IN PREDICTIVE MAINTENANCE, MM publishing, s.r.o. (2017)
  journal article in Scopus
• OPOČENSKÁ, H.; HAMMER, M.:
  USE OF TECHNICAL DIAGNOSTICS IN PREDICTIVE MAINTENANCE,
  17th MECHATRONIKA 2016 Proceedings of the 2016 17th International Conference on Mechatronics – Mechatronika (ME) 2016, pp.317-322, ISBN 978-80-01-05882-4, (2016)
  conference paper
  akce: 17th International Conference on Mechatronics - Mechatronika 2016, Praha, 07.12.2016-09.12.2016
• KUTÁLEK, D.; HAMMER, M.:
  VIBRATION DIAGNOSTICS OF ROLLING BEARINGS USING THE TIME SERIES ANALYSIS , MM publishing, s.r.o. (2015)
  journal article in Scopus

List of publications at Portal BUT

Abstracts of most important papers:

• HAMMER, M.; MINISTR, M.; ERTL, J.; JANDA, O.; BARVENČÍK, O.:
  Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis,
  Energyspectrum - International e-Journal, www.energyspectrum.net, Vol.6, (2011), No.1, pp.5-16, ISSN 1214-7044
  journal article - other
  The detection methods of dissolved gases in insulation oil of power oil transformers and mechanism of gas formation are described in this paper. The standard ČSN EN 60599 and the method for failure prediction which is based on time series analysis are discussed too. In the final part, this prediction is extended by fuzzy approaches.
• HAMMER, M.; ERTL, J.; BARVENČÍK, O.; KUTÁLEK, D.:
  Příspěvek k rozboru spolehlivosti výkonových olejových transformátorů - 1. část,
  Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), Vol.2011, (2011), No.52, pp.1-9, ISSN 1213-1539
  journal article - other
  Basic concept of reliability and maintenance of technical equipments is introduced in this article. Two methods for reliability assessment of power oil transformers are described in this article too. The first method is based on usual stochastic model of reliability with constant failure rate or with power failure rate. The second method assumes that power oil transformer is non-repairable system. In this article is shown that model with power failure rate has better accuracy than model with constant failure rate.
• HAMMER, M.; ERTL, J.; BARVENČÍK, O.; KUTÁLEK, D.:
  Příspěvek k rozboru spolehlivosti výkonových olejových transformátorů - 2. část,
  Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), Vol.2011, (2011), No.53, pp.1-8, ISSN 1213-1539
  journal article - other
  This article is focused on reliability analysis based on times to failure together with diagnostic measurements of power oil transformers. Method for assessment of residual lifetime by means of power factor and estimation of reliability characteristics by means of Cox Model are discribed in this article too. Both methods were applied to diagnostic measurements of several power oil transformers located in the Czech Republic.
• JANDA, O.; HAMMER, M.; ERTL, J.; MINISTR, M.:
  Application of Fuzzy Logic in Power Oil Transformers Diagnostics,
  MM Science Journal, Vol.4, (2011), No.3, pp.319-325, ISSN 1803-1269, MM publishing
  journal article - other
  akce: 20th International Workshop on Robotics in Alpe-Adria-Danube Region, Brno, 05.10.2011-07.10.2011
  The diagnostics of transformer condition is more and more important during recent years. One of the most important diagnostic method is the analysis of the dissolved gases in oil (DGA) especially methods defined in standards IEC 60599 and IEEE Std C57.104-1991. This paper describes three DGA (C.E.G.B method, IEC method and Rogers method) methods, and consequently their extension using the fuzzy logic for the purpose of an increase of reliability and accuracy of results. Fuzzified methods, which were applied on test data, reached accuracy in range of 70 - 78%.
• HAMMER, M.:
  Metody umělé inteligence v diagnostice elektrických strojů,
  Metody umělé inteligence v diagnostice elektrických strojů, pp.1-400, ISBN 978-80-7300-231-2, (2009), BEN-technická literatura
  book
  This book is devoted to the application of the artificial intelligence in the diagnostics of electrical machines.