CAJ | 학술논문

针对高速列车运行中的状态表征问题，提出基于监测数据的多重分形谱参数描述高速列车状态的新方法，计算了监测数据的多重分形谱，分析了多重分形谱参数与列车状态之间的关联关系，提取了多重分形谱的宽度(?α)、分形维数差(?f )和谱偏斜度k3个参数为高速列车状态的特征。实验结果证明了多重分形谱参数能描述高速列车的运行状态，列车的状态发生了变化，监测数据的多重分形谱参数也随之发生变化。
침대고속열차운행중적상태표정문제，제출기우감측수거적다중분형보삼수묘술고속열차상태적신방법，계산료감측수거적다중분형보，분석료다중분형보삼수여열차상태지간적관련관계，제취료다중분형보적관도(?α)、분형유수차(?f )화보편사도k3개삼수위고속열차상태적특정。실험결과증명료다중분형보삼수능묘술고속열차적운행상태，열차적상태발생료변화，감측수거적다중분형보삼수야수지발생변화。
In order to evaluate in-service performance of high-speed trains, a new method for representing the running state of high-speed trains is proposed based on the multifractal spectrum parameters of the monitoring data is proposed in the paper. The multifractal spectrum of the monitoring data is calculated by using the multifractal theory. The relationship between the multifractal spectrum parameters and the train running states is analyzed, and the multifractal spectrum width?α, the fractal dimension difference?f and spectrum skewness k are selected as the characteristics of the high-speed train running states. Experimental results testify that the spectrum parameters can be used to characterize the running state of high-speed trains. When the train running states are changed, the multi-fractal spectrum parameters of the monitoring data are changed accordingly.