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| Abstract: |
| The complexity of the actual operating environment of EMU trains and the interaction between the reliability of system components have become a huge challenge for the maintenance scheduling of EMU trains. In response to these problems, the evolution of reliability and failure rate under the influence of environmental factors and correlations is analyzed. Considering the importance of bogie maintenance in the maintenance of EMU trains, we assume bogie systems form the EMU train in series. With the lowest total maintenance cost as the optimization objective, a decision-making model for EMU train maintenance is established. A dynamic maintenance strategy is proposed for the model, which can improve maintenance plans efficiently. Artificial bee colony algorithm is applied to further iteratively optimize the threshold parameters in the strategy. The results are calculated and verified by a numerical example. The results show the effectiveness of the maintenance decision model. The dynamic maintenance strategy in this paper is compared with the traditional opportunistic maintenance strategy. This research provides decision reference for the maintenance of EMU trains operating in actual complex environments. |
| Key words: Preventive maintenance EMU train Correlation Artificial bee colony algorithm Environmental impact |
| DOI：10.11916/j.issn.1005-9113.22031 |
| Clc Number:TH17 |
| Fund: |
