突变状态下的随钻测量信号滤波处理算法

为减小随机的突变信号对姿态解算精度的影响,提出一种自调节突变滤波(SACF)算法。构建随钻测量系统及动态测量方程;通过突变模型判断观测值是否发生突变并设计滤波算法;设计模拟和实际钻进实验,并将所提算法性能与未滤波效果进行比较。实验结果表明:所提算法可以有效处理强干扰环境中突变信号干扰,提高系统测量精度。

Fastener region location method based on gray-scale mutation

Rail fastener positioning method has high requirements for image quality and positioning accuracy.Therefore,a rail fastener positioning method based on gray mutation is proposed.Firstly,the image is denoised by an improved median filter.Then,according to the characteristics of image frequency domain,the image is decomposed by wavelet transfrom to extract low-frequency component,and the low-frequency component is filtered and processed by gamma transformation to reduce the influence of natural environment factors on image quality.After that,according to the change rule of gray-scale values of different regions in the image,the gray-scale mutation in column and line directions of the image is statistically analyzed,and then the rail surface and the sleeper are located.Finally,the fastener area is accurately located by using the position relationship of the rail surface,the sleeper and the fastener in the image.The experimental results show that the positioning accuracy of the proposed method is 93.19%,which can quickly and effectively locate the fastener region,and has strong environmental adaptability,robustness and practicability.

An Improved Gaussian Particle Filter Algorithm Using KLD-Sampling

To adjust the samples of filtering adaptively,an improved Gaussian particle filter algorithm based on Kullback-Leibler divergence(KLD)-sampling(KLGPF)is proposed in this paper.During the process of sampling,the algorithm calculates the KLD to adjust the size of the particle set between the discrete probability density function of particles and the true posterior probability density function.KLGPF has significant effect when the noise obeys Gaussian distribution and the statistical characteristics of noise change abruptly.Simulation results show that KLGPF could maintain a good estimation effect when the noise statistics changes abruptly.Compared with the particle filter algorithm using KLD-sampling(KLPF),the speed of KLGPF increases by 28%under the same conditions.

轮胎总成跳动检测系统开发与实现

为解决轮胎在行驶过程中的跳动问题,会对轮辋进行跳动检测,但当测试合格的轮辋装配上胎圈后却不能保证整胎的跳动合格。以VC++为平台开发一套整胎跳动检测系统。该系统包含数据采集、跳动检测、滤波分析、数据统计等功能,并采用突变点滤波处理由胎圈端径面花纹造成的波形干扰,用前后分段平滑滤波解决波形平滑问题,通过OPC和基恩士以太网通信协议实现波形数据通信。试验表明,该系统对整胎的跳动检测效果很好,能减少轮胎因轮辋、胎圈及装胎等综合因素产生的跳动不合格问题,提高出厂轮胎的跳动合格率。