【摘要】 为区分高速列车不同工况,利用DB5小波提取高速列车不同工况振动信号的频域特征,用窗口傅立叶变换计算瞬时频率。结果表明:低速时不同工况的频域特征差异不大;随着速度增大,不同工况的主频、次主频及其对应的能量差异变得明显;不同工况失稳时的瞬时频率不同,据此可区分失稳的工况类型。前述结果可用于判断高速列车运行状态,为高速列车安全、舒适运行提供数据基础。更多还原

【Abstract】 For differentiating different working condition of high speed train,frequency characteristics of the signals was got with DB5,and the instantaneous frequency of the signals was achieved with windowed Fourier transform. The results show that at low- speed,the difference of frequency domain feature in different working condition is not clearly,but as the speed increases,the difference of dominant frequency,the second dominant frequency and its energy become more obvious; when the train is in instability,the instantaneous frequency of different working condition is different,so different working condition of instability can be distinguished based on the frequency characteristics. These results can be used to estimate run- state of the high speed train and provide data base to the safely and comfortably running of the high speed train.更多还原