基于车轮垂直动载的路面不平度识别研究

Study on road roughness recognition based on analysis of wheel vertical dynamic load

通过比较发现车轮垂直动载和语音信号在信号特点和处理任务上有很大的相似性,基于车轮垂直载荷的路面不平度识别类似于说话人识别技术。路面不平度识别的关键之一是特征提取。试验表明说话人识别中使用的过零点、全变差、方差和共振峰幅值特征参数可用于路面不平度识别。

The resemblances between wheel vertical load and speech in characters and process assignments were founded after comparisons, road roughness recognition based on wheel vertical load was similar to speaker recognition. One key of road roughness recognition was feature extrication. Experiment verified that feature parameters,such as zero-cross points, total variation, variance and formant amplitude, which were used in speaker recognition could be employed in roughness recognition.