A hybrid diagnostic method based on wigner-ville distribution and wavelet packet transform

Tian, Wei; Yan, Ruqiang; Gao, Robert X.

doi:10.1109/icwapr.2010.5576402

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ratio of the energy of the reference signal to the reflected signal is calculated by using ( 13) and ( 14) and the reflection coefficient is then obtained by using (9). In addition, the phase difference is easily obtained using (16). Therefore, we can evaluate the load impedance using WTFDR.…”

Section: Wavelet-transform-based Time-frequency Domain Reflectometry ...mentioning

confidence: 99%

“…In [3][4][5], even though conventional TFDR (CTFDR) has been used to evaluate the load impedance, CTFDR has some weak points, such as long computation times, hard implementation and cross term interference because of the nonlinearity of Wigner-Ville distribution (WVD) [15]. Although WVD is a time-frequency analysis method, the computational complexity results in slow processing speed and the cross term leads to misinterpretation because the information of the cross term does not exist in the original signal [16]. When the load impedance is obtained, accurate information of the measured signal is needed.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of load impedance in power cables using wavelet-transform-based time–frequency domain reflectometry

Lee¹,

Park²,

Choi³

2013

Meas. Sci. Technol.

View full text Add to dashboard Cite

In this paper, wavelet-transform-based time–frequency domain reflectometry (WTFDR) is proposed for load impedance measurement. In order to measure the load impedance, the energy of the measured signal in the time–frequency domain, the phase difference between the reference signal and the reflected signal, the characteristic impedance, and the attenuation factor of the measured cable must all be known. Since the complex wavelet transform is composed of real and imaginary parts, the phase difference is easily obtained using the ratio of the real coefficient to the imaginary coefficient. In addition, the wavelet energy denotes the sum of the square of the modulus of the wavelet transform and describes the energy of the measured signal in the time and frequency domains. To accurately determine the characteristic impedance and attenuation factors, the power cable should be estimated as a coaxial cable. Using WTFDR with the complex mother wavelet and the estimated power cable, the load impedance can be obtained simply and accurately. Finally, real experiments for the evaluation of various load impedances are carried out to confirm the effectiveness and accuracy of the proposed method compared to the conventional time–frequency domain reflectometry.

show abstract

Section: Wavelet-transform-based Time-frequency Domain Reflectometry ...mentioning

confidence: 99%