摘要
Hilbert边际谱是Hilbert-Huang变换在频域的一种表示形式,适合分析机械故障诊断中广泛存在的非平稳信号,但是噪声会影响Hilbert边际谱的分析精度。针对从装甲车辆机械系统采集的振动信号中噪声的特点,将形态滤波和自相关相结合,对振动信号进行降噪,提高了Hilbert边际谱对振动信号的分析精度,并在某型坦克变速箱主轴7216轴承滚动体点蚀故障诊断中得到了应用。
Hilbert marginal spectrum is a kind of representation of Hilbert-Huang transform in frequency domain, which is suitable for analyzing nonstationary signal in mechanical fault diagnosis. But the noise will affect the analysis precision of Hilbert marginal spectrum. According to the features of noise contained in the vibration signal acquired from armored vehicle mechanical system, a denoising method based on morphological filtering and autocorrelation is applied. The method improves the analysis precision of...
出处
《装甲兵工程学院学报》
2010年第1期39-41,52,共4页
Journal of Academy of Armored Force Engineering
基金
国防科技重点实验室基金项目资助(51457120104JB3505)
关键词
轴承
故障诊断
形态滤波
自相关
Hilbert边际谱
bearing
fault diagnosis
morphological filtering
autocorrelation
Hilbert marginal spectrum
