小波包样本熵的扬声器异常音特征提取方法
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摘要
为了更准确地对扬声器异常音进行分类,给出一种基于小波包分解和样本熵的扬声器异常音特征提取方法。在基频陷波预处理后,对信号进行3层小波包分解,计算重构信号的样本熵以构成特征向量。实验结果表明,在小样本的情况下,SVM算法使用小波包分解和样本熵特征提取,分类准确率为93.33%,比能量均值方法高5%,验证了特征提取方法的有效性。
To classify the loudspeaker abnormal sound more accurately, a feature extraction method is proposed, in which wavelet packet decomposition and sample entropy are used. After preprocessing of pitch notching, the loudspeaker response signal is decomposed using wavelet packet decomposition of three levels. Sample entropy values of reconstructed signals are calculated to structure the feature vectors. In the small sample case,the results of experiment show that the SVM algorithm with wavelet packet decomposition and sample entropy feature extraction method achieves 93.33% classification accuracy.It′s 5% higher than that of energy mean method,which proves the proposed method.
To classify the loudspeaker abnormal sound more accurately, a feature extraction method is proposed, in which wavelet packet decomposition and sample entropy are used. After preprocessing of pitch notching, the loudspeaker response signal is decomposed using wavelet packet decomposition of three levels. Sample entropy values of reconstructed signals are calculated to structure the feature vectors. In the small sample case,the results of experiment show that the SVM algorithm with wavelet packet decomposition and sample entropy feature extraction method achieves 93.33% classification accuracy.It′s 5% higher than that of energy mean method,which proves the proposed method.
引文
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[20] 谌璐,贺兴时,王芳妮,等.一种基于PSO的混合核支持向量机算法 [J].西安工程大学学报,2012,26(6):815-819. CHEN L,HE X S,WANG F N,et al.A hybrid kernel support vector machine algorithm based on PSO [J].Journal of Xi′an Polytechnic University,2012,26(6):815-819.(in Chinese)
[2] TEMME S F,BRUNET P.Measurements of harmonic distortion audibility using a simplified psychoacoustic model[C]//2013 International Symposium on ElectroAcoustic Technologies.Shenzhen:Chinese Institute of Electronics,2013:413-422.
[3] DELGADO M,ORTEGA J A,RUIZ G,et al.Loudspeaker rub fault detection by means of a new nonstationary procedure test[C]//Audio Engineering Society Convention.San Francisco:Audio Engineering Society,2010:1-7.
[4] 王红星,许增朴,周聪玲,等.一种基于高阶频率能量均值的扬声器异音故障诊断方法[J].天津科技大学学报,2010,25(6):46-50. WANG H X,XU Z P,ZHOU C L,et al.A diagnosis method for loudspeaker sound fault based on the higher-order frequency energy[J].Journal of Tianjin University of Science & Technology,2010,25(6):46-50.(in Chinese)
[5] 李宏斌,徐楚林,温周斌.基于短时傅里叶变换的异常音检测方法[J].声学技术,2014,33(2):145-149. LI H B,XU C L,WEN Z B.A STFT based method for detecting Rub & Buzz defects of loudspeaker and its application research[J].Technical Acoustics,2014,33(2):145-149.(in Chinese)
[6] 王晓华,屈雷,张超,等.基于Fisher比的Bark小波包变换的语音特征提取算法[J].西安工程大学学报,2016,30(4):452-457. WANG X H,QU L,ZHANG C,et al.Speech feature extraction algorithm based on the Bark wavelet packet transform with Fisher[J].Journal of Xi′an Polytechnic University,2016,30(4):452-457.(in Chinese)
[7] 孙萍萍.基于小波包理论的激波信号去噪研究[J].国外电子测量技术,2016,35(7):38-42. SUN P P.Denoising of shock signal based on wavelet packet theory[J].Foreign Electronic Measurement Technology,2016,35(7):38-42.(in Chinese)
[8] 崔冰波,陈熙源.光纤陀螺温度漂移的多尺度集成建模研究[J].仪器仪表学报,2015,36(2):304-309. CUI B B,CHEN X Y.Study on multi-scale ensemble modeling of FOG temperature drift[J].Chinese Journal of Scientific Instrument,2015,36(2):304-309.(in Chinese)
[9] 吴正平,魏欢,杨翔宇,等.无线脑电睡眠分期系统设计及算法研究 [J].电子测量与仪器学报,2016,30(12):1861-1868. WU Z P,WEI H,YANG X Y,et al.System design and algorithm research on wireless EEG signal sleep stage[J].Journal of Electronic Measurement and Instrumentation,2016,30(12):1861-1868.(in Chinese)
[10] 徐玉秀,赵晓清,杨文平,等.多参数与多测点信息融合的行星轮故障诊断[J].仪器仪表学报,2014,35(8):1789-1795. XU Y X,ZHAO X Q,YANG W P,et al.Planetary gear fault diagnosis based on information fusion of multi-parameters and multi-points[J].Chinese Journal of Scientific Instrument,2014,35(8):1789-1795.(in Chinese)
[11] 郑宝芬,苏宏业,罗林.无监督特征选择在时间序列数据挖掘中的应用[J].仪器仪表学报,2014,35(4):834-840. ZHENG B F,SU H Y,LUO L.Application of unsupervised feature election in time series data mining[J].Chinese Journal of Scientific Instrument,2014,35(4):834-840.(in Chinese)
[12] WIDODO A,SHIM M C,CAESARENDRA W,et al.Intelligent prognostics for battery health monitoring based on sample entropy[J].Expert Systems With Applications,2011,38(9):11763-11769.
[13] 陈勇旗,赵一鸣,陈杨.基于固有时间尺度分解的滚动轴承故障诊断[J].电子测量与仪器学报,2015,29(11):1677-1682. CHEN Y Q,ZHAO Y M,CHEN Y.Fault diagnosis of roller bearing based on intrinsic time-scale decomposition[J].Journal of Electronic Measurement and Instrumentation,2015,29(11):1677-1682.(in Chinese)
[14] 宋晓霞,向北平,倪磊,等.基于样本熵的改进空域相关去噪算法 [J].机械设计与研究,2018,34(4):31-36. SONG X X,XIANG B P,NI L,et al.Research of improved spatial correlation denoising algorithm based on sample entropy[J].Machine Design and Research,2018,34(4):31-36.(in Chinese)
[15] TEMME S,DOBOS V.Evaluation of audio test methods and measurements for end-of-line automotive loudspeaker quality control[C]//Audio Engineering Society Convention.Berlin:Audio Engineering Society,2017:1-10.
[16] LARSON J,DELLASAIA G,KEELE JR D B.A tutorial on the audibility of loudspeaker distortion at bass frequencies[C]//Audio Engineering Society Convention.New York:Audio Engineering Society,2017:1-10.
[17] 李献斌,王跃科,杨俊.级联陷波器抗窄带干扰设计与实现[J].电子测量与仪器学报,2013,27(6):492-497. LI X B,WANG Y K,YANG J.Design and implementation of cascade IIR notch filters for narrow-band interferences suppression[J].Journal of Electronic Measurement and Instrument,2013,27(6):492-297.(in Chinese)
[18] 麻芙阳,崔玉龙.基于虚拟仪器的无线脉搏检测仪设计[J].电子测量技术,2011,34(3):71-74. MA F Y,CUI Y L.Wireless human pulse wave detector based on LabVIEW[J].Electronic Measurement Technology,2011,34(3):71-74.(in Chinese)
[19] 汪江秀,王友仁.相控阵天线故障诊断方法研究[J].电子测量技术,2016,39(8):163-167. WANG J X,WANG Y R.Research on fault diagnosis method of phased array antenna[J].Electronic Measurement Technology,2016,39(8):163-167.(in Chinese)
[20] 谌璐,贺兴时,王芳妮,等.一种基于PSO的混合核支持向量机算法 [J].西安工程大学学报,2012,26(6):815-819. CHEN L,HE X S,WANG F N,et al.A hybrid kernel support vector machine algorithm based on PSO [J].Journal of Xi′an Polytechnic University,2012,26(6):815-819.(in Chinese)