Development of the method for predicting the resource of mechanical systems

  • Anton Panda
  • Volodymyr Nahornyi
  • Iveta Pandová
  • Marta HarničárováEmail author
  • Milena Kušnerová
  • Jan Valíček
  • Ján Kmec


The paper presents the results of research concerning the development of a new forecasting methodology, which has finally allowed us to solve the urgent problem of determining the individual resource of any technical systems, which has long been waiting for its solution. The solution to this problem is of particular importance for small series or single objects of inspection. This circumstance determines the relevance of the material presented in the paper. The work aims to develop a new methodology for forecasting the individual resource of technical systems, including unique and small series ones. A new methodology for forecasting the individual resource of technical systems is proposed, based on the identification of the trend model of the monitored parameter, compiled based on the results of regular monitoring of the technical condition of various industrial equipment, including small series or single pieces only. The trend model coefficients determined during the identification process are used for calculation of the required resource of the machine. The methodology of individual resource forecasting and evaluation based on this degree of criticality of the technical condition of industrial equipment, including unique and low series equipment, was implemented in a software product and used in predicting the resource of a centrifugal pump. The approbation of the proposed forecasting methodology confirmed the effectiveness and efficiency of the software created on its basis, which allows us to recommend the methodology and software for practical use in solving problems of predicting the resource and diagnosing the technical condition of various industrial equipment. Prospects for further research consist in hardware implementation based on stationary, mobile and embedded control systems of the developed methodology for predicting the individual resource of mechanical systems.


Individual resource Critical condition Resource forecast identification trend of the monitored parameter trend model condition of the supervised equipment 



The authors would like to thank the programme Inter-Excellence LTC17051 European anthroposphere, as a source of mineral raw materials.

Funding information

This research was funded by the KEGA grant agency 004TUKE-4/2017


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Anton Panda
    • 1
  • Volodymyr Nahornyi
    • 2
  • Iveta Pandová
    • 1
  • Marta Harničárová
    • 3
    • 4
    Email author
  • Milena Kušnerová
    • 4
  • Jan Valíček
    • 3
    • 4
  • Ján Kmec
    • 4
  1. 1.Faculty of Manufacturing Technology with Seat in PrešovTechnical University in KošicePrešovSlovakia
  2. 2.Faculty of Electronics and Information TechnologiesSumy State UniversitySumyUkraine
  3. 3.Faculty of EngineeringSlovak University of Agriculture in NitraNitraSlovakia
  4. 4.Faculty of TechnologyInstitute of Technology and Business in České BudějoviceČeské BudějoviceCzech Republic

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