RESEARCH PAPER
An evaluation method of preventive renewal strategies of railway vehicles selected parts
1
AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Al. A. Mickiewicza 30, 30-059 Kraków, Poland
2
Cracow University of Technology, Faculty of Mechanical Engineering, ul. Warszawska 24, 31-155 Kraków, Poland
3
University of Applied Sciences in Tarnow, Polytechnic Faculty, ul. Mickiewicza 8, 33-100 Tarnów, Poland
Publication date: 2021-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(4):678-684
HIGHLIGHTS
- A method for evaluating the renewal strategies of wearing machine parts was developed.
- Calculations were made for a real case from railway operational practice.
- Obtained results indicate possibilities of improving the researched renewal strategy.
- The developed method is useful for services responsible for planning inspections.
KEYWORDS
ABSTRACT
The aim of the work was to develop a method of verification of the preventive renewal strategies, which enables a simulation evaluation of the effects of the application of a specific schedule of inspections of parts that are important in the operation of complex renewable technical objects. Using it requires having an already established schedule of inspections, and the result of applying the method is determined by indicators that assess the usefulness of the strategy, even before implementation. The developed computational tool was used to evaluate the renewal strategy of the current collector contact plates. Based on the real operational data, several renewal intervals were considered, determining the frequency of events involving the plate covering a specific mileage, from exceeding the wear control limit value to the next inspection (replacement). The proposed verification method is an important tool for testing and planning technical inspections for systems and elements with planned wear, and parts are periodically replaced.
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Multi-domain approach to modeling pantograph-catenary interaction
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Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty
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Journal of Manufacturing Systems
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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