An application of B-spline wavelet transform for notch detection enhancement

In this paper, the B-spline wavelet transform is applied for the enhancement of notch detection capability. By embodying the B-spline wavelet function, the time-frequency information of the notch waveform is seen presented in an integrated manner, thereby improving the monitoring capability of disturbances at different intervals. To validate the effectiveness of the method, this proposed approach was employed for the detection of notch signals, the identification of sag and swell, and the examination of electric drive-generated signals. A virtual instrument approach was also made to facilitate the visualization of the method. Test results demonstrated the practicality and advantages of the proposed approach for the applications.

[1]  S. S. Osofsky Calculation of transient sinusoidal signal amplitudes using the Morlet wavelet , 1999, IEEE Trans. Signal Process..

[2]  Michael Unser,et al.  Splines: a perfect fit for signal and image processing , 1999, IEEE Signal Process. Mag..

[3]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[4]  R. J. Murphy Disturbance recorders trigger detection and protection , 1996 .

[5]  Martin Vetterli,et al.  Wavelets and filter banks: theory and design , 1992, IEEE Trans. Signal Process..

[6]  Chen Xiangxun Wavelet-based detection, localization, quantification and classification of short duration power quality disturbances , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[7]  C. J. Melhorn,et al.  Interpretation and analysis of power quality measurements , 1995 .

[8]  Vincenzo Piuri,et al.  A simulation tool for virtual laboratory experiments in a WWW environment , 1999, IEEE Trans. Instrum. Meas..

[9]  A. Y. Chikhani,et al.  Power quality detection and classification using wavelet-multiresolution signal decomposition , 1999 .

[10]  Yuan Liao,et al.  Data smoothing by B-spline wavelets for digital distance protection , 1998 .

[11]  Shyh-Jier Huang,et al.  Application of Morlet wavelets to supervise power system disturbances , 1999 .

[12]  R. Yacamini,et al.  Calculation of commutation spikes and harmonics on offshore platforms , 1990 .

[13]  Neville R. Watson,et al.  Power System Quality Assessment , 2000 .

[14]  Michel Meunier,et al.  New signal processing tools applied to power quality analysis , 1999 .

[15]  Akram Aldroubi,et al.  B-SPLINE SIGNAL PROCESSING: PART I-THEORY , 1993 .

[16]  A. Ludbrook Proposed revisions to IEEE 519 commutation notch limits , 2002, IEEE Power Engineering Society Summer Meeting,.

[17]  Charles K. Chui,et al.  An Introduction to Wavelets , 1992 .

[18]  Akram Aldroubi,et al.  B-spline signal processing. II. Efficiency design and applications , 1993, IEEE Trans. Signal Process..

[19]  Akram Aldroubi,et al.  B-SPLINE SIGNAL PROCESSING: PART II-EFFICIENT DESIGN AND APPLICATIONS , 1993 .

[20]  Michael Unser,et al.  B-spline signal processing. I. Theory , 1993, IEEE Trans. Signal Process..