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为准确、快速检测车轮扁疤以保障列车行车安全,针对振动加速度传感器采集的车轮扁疤信号持续时间短、突变快的特点,采用短时能量判决和S变换时频分析方法相结合的算法对含有扁疤的振动信号进行检测定位。对典型扁疤信号进行频谱分析发现扁疤信号主要集中在2500Hz以下的频带范围内。通过对低通滤波后的振动信号进行短时能量判决筛选出扁疤可能存在的数据段,经S变换后,信号的突变特性表现明显,可以确定扁疤的起振时间。MATLAB仿真证明:该算法能够准确地对扁疤信号进行检测定位,并较其他方法步骤更简洁、定位更准确。
In order to detect the flatness of the wheel accurately and quickly to ensure the traffic safety of the train, aiming at the short duration and rapid mutation of the wheel flaw signal collected by the vibration acceleration sensor, the algorithm combining short time energy decision and S transform time-frequency analysis Vibration signal containing flat scars for detection and positioning. Spectral analysis of a typical flat scar signal found that the flat scar signal is mainly concentrated in the frequency band below 2500 Hz. Through the short-time energy decision of the low-pass filtered vibration signal, we can select the possible data segment of the flat scar. After the S transformation, the sudden change of the signal is obvious, and the onset time of the flat scar can be determined. The MATLAB simulation proves that this algorithm can accurately detect and locate the flaw signal and is more concise than other methods and has more accurate positioning.