汽车玻璃刮水器电动机的类型与功能实现

玻璃刮水器是汽车的重要零部件之一,本文介绍刮水器电动机的类型,包括按照磁场结构分类、按照控制方式分类、按照电动机负荷扭矩分类;分析了刮水器各种功能的实现,包括高速刮刷的实现、低速刮刷的实现、间歇刮刷的实现、雨量传感器感应刮刷的实现;研究了刮水电动机在乘用车系统的应用实例。本文力求通过对比分析不同的电动机和不同功能的组合,达到玻璃刮水器电动机系统的最优设计。

Motion Classification of EMG Signals Based on Wavelet Packet Transform and LS-SVMs Ensemble

This paper presents an effective method for motion classification using the surface electromyographic (sEMG) signal collected from the forearm. Given the nonlinear and time-varying nature of EMG signal, the wavelet packet transform (WPT) is introduced to extract time-frequency joint information. Then the multi-class classifier based on the least squares support vector machine (LS-SVM) is constructed and verified in the various motion classification tasks. The results of contrastive experiments show that different motions can be identified with high accuracy by the presented method. Furthermore, compared with other classifiers with different features, the performance indicates the potential of the SVM techniques combined with WPT in motion classification.

Preliminary Group Classification for One Class of Nonlinear Wave Equations

The group classification is carried out on the nonlinear wave equation utt = f（x,u, ux）uzz ＋ g（x,u,uz） by using the preliminary group classification approach. The generators of equivalence group are determined and the corresponding reduced forms are obtained. The result of the work is shown in table form.