基于第2代小波和Hilbert—Huang变换的轴承故障诊断.pdfVIP

学兔兔 !墨 = Z鱼 轴承 2012年6期 CN41—1148／TH Bearing 2012，No．6 ．．I测量与仪器 基于第2代小波和Hilbert—Huang变换的轴承 故障诊断 刘小丽，张晓光，陈莹莹 (中国矿业大学 机电工程学院，江苏 徐州 221116) 摘要：将第2代小波算法和Hilbert—Huang变换相结合并应用于滚动轴承的故障诊断中。该方法首先构造并运 用自适应冗余第2代小波对轴承振动信号进行消噪，并通过仿真分析验证了该算法的优越性；其次，对消噪信 号进行HHT分析，通过EMD将信号分解为包含不同特征尺度的模态函数，针对低频成分进行Hilbert边际谱分 析，从而提取故障特征。仿真及试验结果表明了该方法的有效性和实用性。 关键词：滚动轴承；故障诊断；第2代小波；Hilbert—Huang变换 中图分类号：TH133．33 文献标志码：B 文章编号：1000—3762(2012)06—0039—03 Fault Diagnosis of Bearings Based on Second Generation Wavelet and Hilbert——Huang Transform LIU Xiao—li，ZHANG Xiao—guang，CHEN Ying—ying (College of Mechanical＆Electrical Engineering，China University of Mining and Technology，Xuzhou 221 1 16，China) Abstract：The fault diagnostic method for rolling bearings is put forward based on second generation wavelet and Hil- bert—Huang Transform．The self—adaptive redundant second generation wavelet is first applied to decrease the noise of vibration signals and its superiority is validated by simulation experiments．Then the denoised signal is analyzed by HHT，the signal is decomposed into a series of IMFs by using EMD and the Hilbert marginal spectrum of low frequency components is made to extract the characteristics of fault signals．The simulation and experiment results show that the method is effective and practica1． Key words：rolling bearing；fault diagnosis；second generation wavelet；HHT 在滚动轴承运转过程中，由于设备运行不稳 第2代小波解决了其变换引起的频率折叠问题， 定、载荷变化等多种因素，所采集的振动信号往往 具有自适应性，特性更为良好。 伴随着大量噪声，且有用信号易被噪声淹没，造成