摘要
针对滚动球轴承振动加速度信号特征提取问题,提出一种基于中心对称局部二值模式(center-symmetric local binary pattern,简称CSLBP)的时频特征提取方法。首先,利用广义S变换对滚动球轴承振动加速度信号进行处理,通过采用时频聚集性度量准则自适应地确定广义S变换的调整参数,从而获取时频分辨性较好的二维时频图;然后,计算二维时频图的CSLBP,提取CSLBP纹理谱描述滚动球轴承振动加速度信号的时频特征。对滚动球轴承正常、外圈故障、内圈故障和滚动体故障4种不同状态的振动加速度信号进行了研究。结果表明,CSLBP纹理谱能有效地表达滚动球轴承振动加速度信号的时频特征,与局部二值模式(local binary pattern,简称LBP)和统一模式LBP纹理谱相比,CSLBP纹理谱具有特征维数低和区分性能好的优点。
A time-frequency feature extraction method based on center-symmetric local binary pattern(CSLBP)is proposed for vibration acceleration signals of rolling bearings.First,the generalized S transform is employed to process vibration acceleration signals of rolling bearings.Two-dimensional time-frequency images with good resolution performance of the bearing signals are obtained by utilizing the time-frequency aggregation measurement criterion to adaptively set the adjustment parameter of the generalized S transform.Then,the CSLBP of the images is calculated.Texture spectra of CSLBP are extracted and utilized to describe time-frequency characteristics of the vibration acceleration signals of rolling bearings.Vibration acceleration signals from four different rolling bearing states are studied.The experimental results indicate that the texture spectrum of CSLBP can effectively express the time-frequency characteristics of the vibration acceleration signals of rolling bearings.It has low dimensional feature and satisfactory separability compared with the texture spectra of local binary pattern(LBP)and uniform pattern LBP.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2016年第1期22-27,195,共6页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(E51205405
51305454)
关键词
滚动球轴承
时频分析
特征提取
中心对称局部二值模式
广义S变换
rolling bearing
time-frequency analysis
feature extraction
center-symmetric local binary pattern(CSLBP)
generalized S transform
作者简介
张云强，男，1987年9月生，博士生。主要研究方向为模式识别和信号处理在机械故障诊断中的理论及应用。曾发表《简化PCNN在磨粒图像颜色特征提取中的应用》（《内燃机工程》2013年第34卷第5期）等论文。E-mail：zhangyunqiangoec@163．com
