RESEARCH PAPER
Improved method of processing the output parameters of the diesel locomotive engine for more efficient maintenance
| 1 | University of Žilina, Faculty of Mechanical Engineering, Univerzitná 8215/1, 010 26 Žilina, Slovak Republic |
| 2 | Lublin University of Technology, Mechanical Engineering Faculty, ul. Nadbystrzycka 36, 20-618 Lublin, Poland |
| 3 | Schaeffler Kysuce spol s.r.o., Dr. G. Schaefflera 1, 024 01 Kysucké Nové Mesto, Slovak Republic |
Publication date: 2021-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(2):315–323
HIGHLIGHTS
- Expert-based determination of the fault limit values of the engine parameters.
- Methodology for simpler display of fault parameters from the diagnostics.
- Improved diagnostics by faster, easier and more accurate fault evaluation.
- Increased maintenance effectiveness by shortening locomotive’s downtime.
KEYWORDS
ABSTRACT
Modernization of aged rolling stock is one of the possibilities to adapt it to the current
requirements for better environmental friendliness and economy of railway transport. However, some vehicle upgrades lead to new failures that were not observed in the original
vehicles. The cause is the so-called “hybrid design”, built on a combination of original and
selected new components. The aim of the work was to improve the situation with frequent
failures and unavailability that occur on the modernized locomotive where a new diesel
engine and new electronic control system was installed. Within the work, a simplified methodology for evaluating the outputs of diagnostic equipment was developped based on and
applied to specific locomotive type and its diesel engine. The methodology resulted in a
significant reduction of the time for assessing the condition of the vehicle’s diesel engine and
more effective maintenance. The paper also presents other possibilities in the analysis of big
data in the maintenance of rolling stock e.g. using fuzzy logic.
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