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Abstract:
Based on the theories and methods of complex network, and with CRH3 EMU as an example, the relational network of component maintenance for high-speed train in China was constructed. The average degree of nodes, average path length, network density and clustering coefficient were calculated and analyzed to reveal the topological features of the network. The result shows that in the relational network of component maintenance for CRH3 EMU, the average path length is short and the network density is moderately heavy. The distribution of node degree follows exponential distribution. The properties indicate that the network is a small-world network. The dependency relationship among maintenance components should be considered in the design phase of high-speed train so as to facilitate maintenance resource allocating, maintenance policy making and maintenance cost reducing. For the component with higher node degree and clustering coefficient which may affect the safety of train operation, more maintenance resources should be distributed.
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Source :
China Railway Science
ISSN: 1001-4632
Year: 2013
Issue: 3
Volume: 34
Page: 105-108
Cited Count:
SCOPUS Cited Count: 5
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 6
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