Dr. Chien-Kuo Chang, National Taiwan University of Science and Technology, Taiwan

Dr. Chien-Kuo Chang is an associate professor in the Department of Electrical Engineering at NTUST. His article, Study of partial discharges measurement cycles effect on defect recognition for underground cable joints was published under the transformative agreement with the Physics Research Promotion Center in Taiwan

Congratulations on your latest paper. Can you tell us about your latest findings?

The duration of the PRPD pattern directly corresponds to the number of partial discharges (PDs) detected per measurement cycle. Following data analysis in five different measurement cycle durations: 40, 80, 120, 200, and 1200 cycles, a Convolutional Neural Network (CNN) trained on 200 measurement cycles exhibits exceptional performance. This result highlights the significance of an adequate number of measurement cycles in obtaining comprehensive PRPD patterns and ensuring precise defect classification.

How would you describe the publication process through the transformative agreement?
My experience is easy and fast. The most exciting part is that I did not have to pay.

What benefits did you see from publishing your work open access?
I believe that open access can enhance the diversity of sharing findings. It is worth noting that the quality of reviews at IOP is high and expert.

Do you have any word of advice for other authors interested in publishing open access through a transformative agreement?
I totally agree with the policy of publishing open access through a transformative agreement because it prevents qualified and valuable research findings from being buried by article processing charges (APC).