发动机振动信号的压缩感知方法研究  

Research on Compressed Sensing Method for Engine Vibration Signal

作　　者：朱纬坤 王昊 喻光升 孙超超 高兴 ZHU Weikun;WANG Hao;YU Guangsheng;SUN Chaochao;GAO Xing(Wuhan Dongfeng Honda Automobile Co.,Ltd.Wuhan,Hubei,430056,China;School of Mechanical and Electrical Engineering,Xi'an Polytechnic University)

机构地区：[1]武汉东风本田汽车有限公司,湖北武汉430056 [2]西安工程大学

出　　处：《小型内燃机与车辆技术》2024年第4期78-81,共4页Small Internal Combustion Engine and Vehicle Technique

摘　　要：针对当前汽车发动机振动信号采集数据传输冗余量大的问题,提出了一种基于压缩感知理论的振动数据采样压缩方法。首先基于发动机振动信号采集平台,完成了振动信号高速采集;其次采用离散余弦变换基、哈达玛矩阵实现了振动信号的压缩;然后采用正交匹配追踪算法进行了压缩信号的重构;最后在10 kHz采样频率下,对汽车发动机在2000 r/min下的振动数据进行了采样压缩。结果表明:在压缩比为0.8、重构迭代次数为200时,重构误差为0.0308,且重构精确度与压缩比、重构迭代次数呈正相关。此方法为汽车发动机振动信号的无线传输提供了一种有效的数据压缩方法。A Compressed Sensing Method for Engine Vibration Signal is proposed to address the issue of large redundant data transmission in current engine vibration signal acquisition.Firstly,the engine vibration signal acquisition platform is used to complete high-speed signal acquisition.Then,the vibration signal is compressed using the Discrete Cosine Transform basis and the Hadamard matrix.Finally,the compressed signal is reconstructed using the Orthogonal Matching Pursuit algorithm.The results show that,when compressing the vibration data of a car engine at 2000 r/min with a sampling frequency of 10 kHz,with a compression ratio of 0.8 and a reconstruction iteration number K of 200,the reconstruction error is 0.0308.Moreover,the reconstruction accuracy is positively correlated with the compression ratio and the reconstruction iteration number K.This method provides an effective data compression solution for wireless transmission of engine vibration signals.

关 键 词：振动信号 压缩感知 稀疏信号 数据采集 

分 类 号：U467.492[机械工程—车辆工程]