| Autor: |
Zeng, Yuanchen, Zhang, Weihua, Song, Dongli |
| Zdroj: |
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit; January 2020, Vol. 234 Issue: 1 p54-64, 11p |
| Abstrakt: |
Due to the rapid development of high-speed railways, there is an extensive need for the condition monitoring of the stability of vehicles. Considering the weakness of the current alarm standards, a new index is introduced for describing the periodicity of the state variable series in the nonlinear dynamics system, and a new guideline – based on the proportion distribution of the index – is proposed for detecting the hunting and for evaluating the stability performance in both the space and time domains. Then, the selection of algorithm parameters is conducted and the generalization ability is validated; a number of simulations and tests are applied to further verify its effectiveness. The advantages of this new method, such as an accurate alarm for hunting motions, evaluation of vehicle dynamics, robustness and feasibility of the real time application, are highlighted. This method can further contribute to the prognostic and health management of railway vehicles through early warning and condition assessment. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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