小波脊线法在暂态信号检测中的应用
|
摘要
针对传统小波脊线法在暂态信号检测中存在的问题,提出了改进算法。新方法引入小波包变换,扩展了小波脊线法的应用范围,并对算法本身进行了若干改进,基本消除了边界效应,提高了算法进行时频分析的实时性和精度。通过对仿真信号的分析,验证了改进方法的优越性,表明改进算法能有效地消除噪声干扰,提取暂态信号的瞬时频率和瞬时幅值,获得信号完整的、精确的时频分布。
Aiming at the problems of the traditional wavelet-ridge method applied in transient signal's detection,this paper puts forward an improved method.By introducing the wavelet-packet transformation,the application area of the wavelet-ridge method is extended.And by improving the method,the boundary effect is mostly eliminated,and the real-time performance and precision are increased.The analysis to the stimulation signal verifies the superiority of the improved method.It also indicates that the improved method can efficiently eliminate the disturbance of noises,abstract the instantaneous frequency and amplitude of the transient signal and get the complete and accurate time-frequency distribution of signals.
Aiming at the problems of the traditional wavelet-ridge method applied in transient signal's detection,this paper puts forward an improved method.By introducing the wavelet-packet transformation,the application area of the wavelet-ridge method is extended.And by improving the method,the boundary effect is mostly eliminated,and the real-time performance and precision are increased.The analysis to the stimulation signal verifies the superiority of the improved method.It also indicates that the improved method can efficiently eliminate the disturbance of noises,abstract the instantaneous frequency and amplitude of the transient signal and get the complete and accurate time-frequency distribution of signals.
引文
[1]Heydt G T,Galli A W.Transient power quality problems ana-lyzed using wavelets[J].IEEE Trans.on Power Delivery,1997,12(2):908-915.
[2]Perunicic B,Mallini M,Wang Z,et al.Power quality dis-turbance detection and classification using wavelets and artifi-cial neural networks[C]∥Proc.of the 8th International Confer-ence on Harmonics and Quality of Power,1998:77-82.
[3]胡晓光,戴景民,纪延超,等.基于小波奇异性检测的高压断路器故障诊断[J].中国电机工程学报,2001,21(5):67-70.
[4]彭志科,何永勇,卢青,等.用小波时频分析方法研究发电机碰摩故障特征[J].中国电机工程学报,2003,23(5):75-79.
[5]范中,田立生.利用子波变换检测瞬时信号[J].电子学报,1996,24(1):78-82.
[6]王肖芬,徐科军,沈峄.小波滤波器幅频特性的研究[J].合肥工业大学学报:自然科学版,2003,26(2):171-175.
[7]曹志彤,何国光,陈宏平,等.电机故障特征值的倍频小波分析[J].中国电机工程学报,2003,23(7):112-116.
[8]钱立军,蒋东翔.小波变换在横向裂纹转子升速过程状态监测中的应用[J].中国电机工程学报,2003,23(5):86-89.
[9]管霖,吴国沛,黄雯莹,等.小波变换在电力设备故障诊断中的应用研究[J].中国电机工程学报,2000,20(10):46-49.
[10]贾民平,许飞云.基于小波分析的进化谱及在故障诊断中的应用[J].东南大学学报:自然科学版,2002,32(6):925-928.
[11]张君,韩璞.基于变换的振动信号分析中能量泄露的研究[J].中国电机工程学报,2004,24(10):238-243.
[12]王兵.一种提取小波脊线的迭代算法[J].数学杂志,2005,25(3):295-298.
[13]郁春来.改进小波脊线法算法分析和仿真[J].现代雷达,2005,27(8):46-48.
[14]孙涛.小波变换和希尔伯特-黄变换在时频分析中的应用[J].中国水运,2006,11(4):111-113.
[15]程军胜,于德介,杨宇.基于EMD的信号瞬时特征的小波分析方法[J].地震工程与工程震动,2004,24(2):181-186.
[16]Sabadell F J.Spectral localization of seismic data with aphase corrected wavelet transform[J].SEG Technical Pro-gram Expanded Abstracts,2001,20:595.
[17]Liu J L.Time-frequency decomposition based on ricker wavelet[J].SEG Technical Program Expanded Abstracts,2004,23:1933.
[18]Jeffrey C,Patrick F.Virtues and vices of quadric time-fre-quency distributions[J].IEEE Trans.on Signal Processing,2000,48(9):2641-2650.
[19]Han P,Cheng G G.Application of wavelet analysis to thefault diagnosis of rotating machinery[J].Journal of WuhanUniversity of Science and Technology:Natural Science Ed.,2003,26(1):60-62.
[20]林敏,陈希武,周兆经.基于正交小波包的瞬时频率检测[J].计量学报,2000,21(3):227-231.
[2]Perunicic B,Mallini M,Wang Z,et al.Power quality dis-turbance detection and classification using wavelets and artifi-cial neural networks[C]∥Proc.of the 8th International Confer-ence on Harmonics and Quality of Power,1998:77-82.
[3]胡晓光,戴景民,纪延超,等.基于小波奇异性检测的高压断路器故障诊断[J].中国电机工程学报,2001,21(5):67-70.
[4]彭志科,何永勇,卢青,等.用小波时频分析方法研究发电机碰摩故障特征[J].中国电机工程学报,2003,23(5):75-79.
[5]范中,田立生.利用子波变换检测瞬时信号[J].电子学报,1996,24(1):78-82.
[6]王肖芬,徐科军,沈峄.小波滤波器幅频特性的研究[J].合肥工业大学学报:自然科学版,2003,26(2):171-175.
[7]曹志彤,何国光,陈宏平,等.电机故障特征值的倍频小波分析[J].中国电机工程学报,2003,23(7):112-116.
[8]钱立军,蒋东翔.小波变换在横向裂纹转子升速过程状态监测中的应用[J].中国电机工程学报,2003,23(5):86-89.
[9]管霖,吴国沛,黄雯莹,等.小波变换在电力设备故障诊断中的应用研究[J].中国电机工程学报,2000,20(10):46-49.
[10]贾民平,许飞云.基于小波分析的进化谱及在故障诊断中的应用[J].东南大学学报:自然科学版,2002,32(6):925-928.
[11]张君,韩璞.基于变换的振动信号分析中能量泄露的研究[J].中国电机工程学报,2004,24(10):238-243.
[12]王兵.一种提取小波脊线的迭代算法[J].数学杂志,2005,25(3):295-298.
[13]郁春来.改进小波脊线法算法分析和仿真[J].现代雷达,2005,27(8):46-48.
[14]孙涛.小波变换和希尔伯特-黄变换在时频分析中的应用[J].中国水运,2006,11(4):111-113.
[15]程军胜,于德介,杨宇.基于EMD的信号瞬时特征的小波分析方法[J].地震工程与工程震动,2004,24(2):181-186.
[16]Sabadell F J.Spectral localization of seismic data with aphase corrected wavelet transform[J].SEG Technical Pro-gram Expanded Abstracts,2001,20:595.
[17]Liu J L.Time-frequency decomposition based on ricker wavelet[J].SEG Technical Program Expanded Abstracts,2004,23:1933.
[18]Jeffrey C,Patrick F.Virtues and vices of quadric time-fre-quency distributions[J].IEEE Trans.on Signal Processing,2000,48(9):2641-2650.
[19]Han P,Cheng G G.Application of wavelet analysis to thefault diagnosis of rotating machinery[J].Journal of WuhanUniversity of Science and Technology:Natural Science Ed.,2003,26(1):60-62.
[20]林敏,陈希武,周兆经.基于正交小波包的瞬时频率检测[J].计量学报,2000,21(3):227-231.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心