Wavelet analysis for estimation of mean-curve of impulse waveforms superimposed by noise, oscillations and overshoot

IEEE Transactions on Power Delivery

Volumn 16, Issue 1, 2001, Pages 116-121

  Satish, L ^a   Gururaj, B I ^b  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b NONE

Author keywords

Digital processing; IEC 60060 1; IEC 61083 2; Impulse testing; Mean curve; Multiresolution signal decomposition; Wavelet transform

Indexed keywords

CIRCUIT OSCILLATIONS; CURVE FITTING; HARMONIC DISTORTION; IMPULSE NOISE; IMPULSE TESTING; PARAMETER ESTIMATION; WAVEFORM ANALYSIS; WAVELET TRANSFORMS;

HIGH VOLTAGE POWER APPARATUS; IMPULSE VOLTAGE WAVEFORMS; MULTIRESOLUTION SIGNAL DECOMPOSITION; OVERSHOOT; OVERVOLTAGE STRESSES;

ELECTRIC NETWORK ANALYSIS;

EID: 0035089099     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/61.905610     Document Type: Article

References (13)

1. Calculating the parameters of full lightning impulses using model-based curve fitting
2. Exponential fitting algorithms for digitally recorded high voltage impulse parameter evaluation
3. Kalman filter algorithm for digitally recorded lightning impulse parameter evaluation
4. Digitally recorded lightning impulse with overshoot parameter evaluation by using the Kalman filtering method
5. Digital filtering of HV impulse tests results
6. Application of digital filter to lightning impulse parameters evaluation
7. A wavelet based approach for measurements on high voltage impulses
8. Evaluation procedure for lightning impulse parameters in case of waveforms with oscillations and/or an overshoot
9. International comparison of software for evaluating high voltage impulses and step responses
10. Short-time Fourier and wavelet transforms for fault detection in power transformers during impulse tests
11. Multiresolution signal decomposition: A new tool for fault detection in power transformers during impulse tests