摘要
针对强背景噪声下的特征提取问题,提出一种基于参数化滤波的旋转设备特征频率提取方法。对目标特征频率进行瞬时频率的初步提取;利用傅里叶基函数对初始瞬时频率进行拟合,得到所需特征频率的瞬时频率;根据提取出的瞬时频率和瞬时幅值重构出提取后的频谱图,从而达到对噪声进行抑制并准确提取所需特征频率的目的。使用仿真信号验证了该方法的有效性,对齿轮传动系统中行星齿轮箱振动数据、轴承外圈故障振动数据及轴承外圈早期故障进行试验分析。结果表明,该方法能有效提高信号的信噪比,准确提取特征频率,增强故障特征。
Here,aiming at feature extraction problems under strong background noise,a feature frequency extraction method for rotating equipment based on parameterized filtering was proposed.Firstly,preliminary extraction of instantaneous frequency was performed for target feature frequency.Secondly,initial instantaneous frequency was fitted using Fourier basis functions to obtain instantaneous frequency of the required feature frequency.Finally,based on the extracted instantaneous frequency and instantaneous amplitude,the extracted spectrum was reconstructed to suppress noise and accurately extract the required feature frequency.The effectiveness of the proposed method was verified using simulation signals,and test analyses were conducted for vibration data of planetary gearbox,bearing outer ring fault vibration data,and vibration data of bearing outer ring early faults in a gear transmission system.The results showed that the proposed method can effectively improve signal-to-noise ratios of signals,accurately extract feature frequencies,and enhance fault features.
作者
位莎
杨阳
杜明刚
何清波
彭志科
WEI Sha;YANG Yang;DU Minggang;HE Qingbo;PENG Zhike(State Key Lab of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240,China;State Key Lab of Vehicle Transmission,China North Vehicle Institute,Beijing 100072,China;College of Mechanical Engineering,Ningxia University,Yinchuan 750021,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2023年第17期203-209,283,共8页
Journal of Vibration and Shock
基金
基础研究项目(20195208003)。
关键词
参数化滤波
特征频率提取
故障诊断
信号分解
parameterized filtering
feature frequency extraction
fault diagnosis
signal decomposition
