摘要
基于听觉系统的运行机制,提出一种可自动识别和提取信号中谐波频率的计算方法。首先,对信号进行基底膜带通滤波;其次,模拟听皮层时频感受野现象对不同时频域内信号进行二维傅里叶变换并提取幅值和频率信息,基于幅值信息的侧抑制结果,提出了一种谐波成分频率点的判据方法;最后,对提取得到的谐波频率点进行重组,从而可揭示信号中的主要频率成分以及各成分的时变情况。数值仿真和试验数据验证结果表明,所提方法可准确提取信号中的各谐波频率,并具有一定的抗噪声干扰能力,对于微弱谐波成分的频率提取亦有较好效果。
The human auditory system can effectively capture,screen and trace each frequency component in acoustical signal.However in vibration signal analysis,the judgment of harmonic component and its time varying is always an artificial job according to frequency spectrum or time-frequency spectrum.Based on the operating mechanism of auditory system,a method is proposed that can identify and extract harmonic frequency automatically.In this method,the basilar membrane band-pass filtering is carried out firstly,and then simulating the function of temporal frequency receptive field of auditory cortex and each time-frequency domain is calculated by 2 D-DFT to extract amplitude and frequency information.A identification method of harmonic frequency is proposed,then the frequency of harmonic and random component can be distinguished and the harmonic frequency points can be extracted by means of synthesizing frequency information and result of lateral inhibition of amplitude information.At last,the harmonic frequency points are grouped and the result can reveal each main harmonic frequency and change with time.The results of simulation and experiments show that the proposed method can extract each harmonic frequency accurately in signal with the anti-noise-interference ability,and can obtain a certain effect for those harmonic components with weak amplitude.
出处
《振动.测试与诊断》
EI
CSCD
北大核心
2017年第6期1120-1126,共7页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(51275080)
关键词
听觉模型
频率提取
带通滤波
侧抑制
故障诊断
auditory model
frequency extraction
band-pass filter
lateral inhibition
faults diagnosis