摘要
为克服谐波小波包变换按二进方式划分频带的不足,提出一种精细划分频带的改进的谐波小波包变换方法,并将改进的谐波小波包与峭度图相结合,提出了改进的谐波小波包峭度图,以及基于改进的谐波小波包峭度图的机械故障诊断方法.仿真实验和应用实例结果表明,所提出的方法克服了传统包络分析需要人为设定带通滤波器参数的不足,能够自适应地将最优频带从含强噪声的原始信号频谱中分离,具有比现有峭度图更强的微弱故障提取能力,可以提高峭度图方法的应用效果.
In order to overcome the defect that the frequency domain was divided by the dyadic mode in the traditional harmonic wavelet packet, an improved harmonic wavelet packet that could divide the frequency domain more finely was proposed. In order to overcome the defect that the parameters of band-pass filter were selected by the experience of the user in the conventional envelope analysis and enhance the performance of kurtogram, by combining the improved harmonic wavelet packet with kurtogram, the improved harmonic wavelet packet kurtogram was given, based on which a method to diagnose the mechanical fault was presented. The simulation and fault signal analysis show the method overcomes the defect in the conventional envelope analysis and enhances the performance of kurtogram.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2014年第1期39-44,共6页
Journal of Shanghai Jiaotong University
基金
省级十二五预研基金项目(4010801020202)资助
关键词
谐波小波包
谱峭度
峭度图
包络分析
故障诊断
harmonic wavelet packet
spectral kurtosis
kurtogram
envelope anatysis
fault diagnosis