HHT在动态称重传感器处理非线性信号中的应用  

Application of HHT in dynamic weigh-in-motion sensor nonlinear signal processing

作　　者：刘玉龙[1] 李晓林[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030000

出　　处：《传感器与微系统》2015年第7期158-160,共3页Transducer and Microsystem Technologies

摘　　要：悬臂梁式称重传感器是动态称重(WIM)系统的核心组成部分,但由于动态称重过程中受到的外界影响因素较多,加上动态称重技术本身要求传感器处理的就是非线性、非平稳信号,须寻求一种更加适合的信号处理方法—希尔伯特—黄变换(HHT)技术。HHT是一种适用于非线性非平稳的信号分析方法,适用于动态称重过程中称重传感器的信号处理,根据信号端点处的振幅和频率,分别增加两组特征波的方式进行数据延拓的方法来抑制边界效应,然后通过经验模式分解(EMD)剩余分量的均值来作为动态称重信号中的静态值,计算出车辆真实轴重。Cantilever beam weighing sensor is the core component of weight in motion（ WIM） system,but weighing process is influenced by many external factors,and WIM technology itself requires sensor can processing the nonlinear and non-stationary signal,so this thesis is to find an appropriate method of signal processing techniques,Hilbert-Huang transform（ HHT）,HHT is a signal analysis method suitable for nonlinear and non-stationary signal analysis,and suitable for WIM procedure of weighing sensor in signal processing. According to amplitude and frequency of the signal at the endpoint,separately increase two sets of characteristic wave for data extension to suppress boundary effects,then through empirical mode decompose（ EMD） mean of remaining compo-nents as static value in dynamic weighing signal,then calculate axle weight of vehicle.

关 键 词：悬臂梁式称重传感器 动态称重 希尔伯特—黄变换 经验模式分解 剩余分量 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]