Abstract

AbstractAs the important system of train communication network, Multifunction vehicle bus (MVB) is used to transmit controlling and supervising data. However, the existing methods of post-fault maintenance and planned maintenance cannot meet the needs of early warning the faults. To address these issues, a health assessment method based on LOF is proposed to achieve health management of the network. The features is formed through feature extraction to characterize different MVB status and perfomance degradation is indicated by scores. The experimental platform was established and multiple sets of faults injection experiments were conducted. The experimental results demonstrate the effectiveness of this method for abnormal detection in MVB networks, which has great significance for network maintenance.KeywordsMVBHealth assessmentEntropy methodLOF

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