全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

谱质心在电力谐波分析中的应用

, PP. 73-80

Keywords: 谱质心,子带谱质心,频谱分析,参数估计,电力谐波分析,余弦相似度

Full-Text   Cite this paper   Add to My Lib

Abstract:

该文给出了连续频谱和离散频谱的谱质心计算公式,讨论了谱质心应用于频谱校正的原理和步骤。通过计算离散频谱正频率段的谱质心估计信号频率,根据邻近谱质心的峰值谱线估计信号幅值和相位。对于谐波信号,引入子带谱质心概念,根据谐波次数将谐波分成多个子带,计算每个子带的谱质心估计各次谐波参数。仿真实例表明,谱质心法能提高谐波分析的准确度,有效克服基波频率波动和噪声对谐波分析的影响。与传统的比值法、相位差法和能量重心法相比,谱质心法可以避免繁琐的峰值搜索和复杂的谱线插值计算,不需要推导窗函数的能量特性,是一种简单实用的电力谐波分析方法。

References

[1]  温和,滕召胜,郭斯羽,等.Hanning自卷积窗函数及其谐波分析应用[J].中国科学E:技术科学,2009,39(6):1190-1198.Wen He,Teng Zhaosheng,Guo Siyu,et al.Hanning self-convolution windows and its application to harmonic analysis[J].Science in China Press E:Technological Sciences,2009,39(6):1190-1198(in Chinese).
[2]  庞浩,李东霞,俎云霄,等.应用FFT进行电力系统谐波分析的改进算法[J].中国电机工程学报,2003,23(6):50-54.Pang Hao,Li Dongxia,Zu Yunxiao,et al.An improved algorithm for harmonic analysis of power system using FFT Technique[J].Proceedings of the CSEE,2003,23(6):50-54(in Chinese).
[3]  高云鹏,滕召胜,卿柏元.基于Kaiser窗双谱线插值FFT的谐波分析方法[J].仪器仪表学报,2010,31(2):287-293.Gao Yunpeng,Teng Zhaosheng,Qing Baiyuan.Harmonic analysis based on Kaiser window double spectrum line interpolation FFT[J].Chinese Journal of Scientific Instrument,2010,31(2):287-293(in Chinese).
[4]  Gregorio A,Mario S,Amerigo T.Windows and interpolation algorithms to improve electrical measurement accuracy[J].IEEE Transactions on Instrumentation and Measurement,1989,38(4):856-863.
[5]  ZengBo ,TengZhaosheng .Parameter estimation of power system signals based on cosine self-convolution window with desirable sidelobe behaviors[J].IEEE Transactions on Power Delivery,2011,26(1):250-257.
[6]  吴静,赵伟.一种用于分析电网谐波的多谱线插值算法[J].中国电机工程学报,2006,26(8):55-61.Wu Jing,Zhao Wei.An algorithm of MICA for analyzing harmonics in power system[J].Proceedings of the CSEE,2006,26(8):55-61(in Chinese).
[7]  Agrež D.Weighted multipoint interpolated DFT to improve amplitude estimation of multi-frequency signal[J].IEEE Transactions on Instrumentation and Measurement,2002,51(2):287-292.
[8]  Agrež D.Dynamics of frequency estimation in the frequency domain[J].IEEE Transactions on Instrumentation and Measurement,2007,56(6):2111-2118.
[9]  Zhu L M,Xiong Y L,Zhong B L.An approach for amplitude correction in line spectrum[J].Mechanical Systems and Signal Processing,2003,17(3):551-560.
[10]  Ding K,Xie M.Phase Difference correction method for phase and frequency in spectral analysis[J].Mechanical Systems and Signal Processing,2000,14(5):835-843.
[11]  丁康,江利旗.离散频谱的能量重心校正法[J].振动工程学报,2001,14(3):354-359.Ding Kang,Jiang Liqi.Energy centrobaric correction method for discrete spectrum[J].Journal of Vibration Engineering,2001,14(3):354-359(in Chinese).
[12]  丁康,郑春松,杨志坚.离散频谱能量重心法频率校正精度分析及改进[J].机械工程学报,2010,46(5):43-49.Ding Kang,Zheng Chunsong,Yang Zhijian.Frequency estimation accuracy analysis and improvement of energy barycenter correction method for discrete spectrum[J].Journal of Mechanical Engineering,2010,46(5):43-49(in Chinese).
[13]  Hosseinzadeh D,Krishnan S.On the use of complementary spectral features for speaker recognition [J].Eurasip Journal on Advances in Signal Processing,2008,1(2008):1-10.
[14]  Kuldip K.Paliwal.Spectral subband centroid features for speech recognition[C]//Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing.Seattle,WA:IEEE Signal Processing Society, 1998:617-620.
[15]  Gajic B,Paliwal K K .Robust speech recognition in noisy environments based on sub-band spectral centroid histograms[J].IEEE Transactions on Audio,Speech and Language Processing,2006,14(2):600-609.
[16]  SeoJ S ,JinM,Lee S,et al.Audio fingerprinting based on normalized spectral sub-band centroids [C]////Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing.Pennsylvania,USA:IEEE Signal Processing Society,2005:213-216.
[17]  Guojun Lu,Templar Hankinson Gippsland.A technique towards automatic audio classification and retrieval[C]////Proceedings of the Fourth International Conference on Signal Processing.Beijing,China:CIE Signal Processing Society,1998:1142-1145.
[18]  梅志坚,师汉民,杨叔子,等.信号功率谱特征变化的时域快速诊断[J].华中理工大学学报,1988,16(3):85-91.Mei Zhijian,Shi Hanmin,Yang Shuzi,et al.Time domain fast diagnosis of the characteristic changes of signal power spectrum[J].Journal Huazhong University of Science& Technology,1988,16(3):85-91(in Chinese).
[19]  司刚全,曹晖,张彦斌.一种基于功率谱重心的自适应特征信息提取方法[J].数据采集与处理,2008,23(6):691-696.Si Gangquan,Cao Hui,Zhang Yanbin.Self-adaptive feature extraction method based on power spectral centroid[J].Journal of Data Acquisition & Processing,2008,23(6):691-696(in Chinese).
[20]  王娜,陈克安.分段谱质心特征在水下目标识别中的应用[J].兵工学报,2009,30(2):144-150.Wang Na,Chen Kean.Application of subband spectral centroid features to recognizing underwater targets [J].Acta Armamentari,2009,30(2):144-150(in Chinese).

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133