Trevor Blackburn

TL;DR: In this article, a new wavelet threshold determination method is proposed with the technique, which has been found to be superior to the other wavelet-based methods, and a full AC cycle data recovery can be achieved instead of focusing only on recovering individual PD pulses.

TL;DR: In this article, the authors have concentrated on issues arising while on-line transformer winding deformation diagnosis is going to be applied on transformers with various kinds of techniques, such as frequency response analysis (FRA), short circuit impedance measurement and transfer function measurement.

TL;DR: In this paper, power transformers are considered to be the heart of the transmission and distribution sectors of electric power systems; monitoring their condition and diagnosing faults are important parts of the maintenance function.

TL;DR: In this article, three different methods of acquiring the time differences of arrival (TDOA) from the PD waveforms are discussed, including the first peak of the signal as the arrival instant, or from the cross-correlation of the PD signal waveforms, or by applying the similarity function to the plots of PD signals cumulative energy.

TL;DR: In this article, the authors investigated the accuracy and consistency of these methods in interpreting the transformer condition, which is carried out on DGA data obtained from the local power utilities and from published papers.