基于振动检测系统的汽车运行状态分析与预测

Bo Yang, Yanchao Wang, Mei Yang
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引用次数: 0

摘要

为了在不拆卸汽车零件的情况下检测和诊断汽车的运行状态,基于振动检测技术对发动机转速和悬架状态进行了测试和分析。基于 DSP 处理器和加速度传感器,分别在稳态和瞬态条件下测试了单缸发动机的转速。利用倒频谱法对采集到的不同速度下的振动信号进行处理,提取基频,得到发动机速度信息。根据大津 EWT 方法的转速验证,发动机转速的最大相对误差小于 1.5%,且误差随着转速的增加而减小。为了确保悬架振动信号的可靠性,设计了振动特性检测方案的整体结构和安全性。由于悬架载荷状态传感器数据采样频率有限,采用 EMD 方法处理动载荷信号,对悬架振动信号有较好的分离效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and prediction of automotive running status based on vibration detection system
In order to detect and diagnose the operating status without disassembling automobile parts, engine speed and suspension status were tested and analyzed based on vibration detection technology. Based on a DSP processor and an acceleration sensor, the speed of a single cylinder engine was tested under steady-state and transient conditions, respectively. Using the cepstrum method, the vibration signals were collected at different speeds are processed, the fundamental frequency was extracted, and the engine speed information was obtained. According to the speed verification using the Otsu EWT method, the maximum relative error of engine speed was less than 1.5 %, and the error decreases as the speed increases. In order to ensure the reliability of suspension vibration signals, the overall structure and safety of the vibration characteristic detection scheme were designed. Due to the limited sampling frequency of suspension load status sensor data, the EMD method was adopted to process dynamic load signals, which had a good separation effect on suspension vibration signals.
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