摘要
为消除轴承振动信号的中强背景噪声,提出一种改进的混合自适应均衡算法。首先构建了收敛速度较快、稳定性较好的改进混合自适应均衡消噪模型,然后利用此消噪模型对含噪的轴承故障数据进行消噪处理。实验结果表明,该方法能够较好地消除轴承故障振动信号中的噪声。
To eliminate the strong background noise of vibration signals of bearings,an improved hybrid adaptive equalization algorithmwas proposed. Firstly,an improved hybrid adaptive equalization denoising model was constructed with fast convergence speed and good stability. Secondly,the model was used to denoise the noisy bearing fault data. Experimental results showthat the method can effectively eliminate the noise in the vibration signal of bearing fault.
作者
黄大荣
柯兰艳
赵玲
孙国玺
陈长沙
HUANG Darong KE Lanyan ZHAO Ling SUN Guoxi CHEN Changsha(College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming 525000, China)
出处
《系统仿真技术》
2017年第3期225-229,共5页
System Simulation Technology