Complex network-based high speed train system safety evaluation method
US9630637B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 27, 2015 |
| Grant date | Apr 25, 2017 |
| Priority date | — |
| Expiry date | Nov 27, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/12
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The invention discloses a complex network-based high speed train system safety evaluation method. The method includes steps as follows: (1) constructing a network model of a physical structure of a high speed train system, and constructing a functional attribute degree of a node based on the network model; (2) extracting a functional attribute degree, a failure rate and mean time between failures of a component as an input quantity, conducting an SVM training using LIBSVM software; (3) conducting a weighted kNN-SVM judgment: an unclassifiable sample point is judged so as to obtain a safety level of the high speed train system. For a high speed train system having a complicated physical structure and operation conditions, the method can evaluate the degree of influences on system safety when a state of a component in the system changes. The experimental result shows that the algorithm has high accuracy and good practicality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.