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ICACT20220141 Question.1
Questioner: tomayoon@ieee.org    2022-02-15 ¿ÀÈÄ 12:49:43
ICACT20220141 Answer.1
Answer by Auhor liumengup@126.com   2022-02-15 ¿ÀÈÄ 12:49:43
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First of all, thank you for the good research paper and presentation contents. I would like to know more about the research environment used in this study, and also in detail about the equipment & operating systems, development languages and software libraries you used. Thanks for your attention. The equipment consists of a 35kV oil-immersed transformer, an implanted fault source, and an external controllable voltage regulating device. A variety of fault sources can be switched flexibly, and the 35kV transformer can be powered through the console, which can stimulate the fault source to produce a fault. transformer Dimensions: 1900¡¿1645¡¿2000 (length¡¿width¡¿height) Total weight (including oil): 2380kg Oil weight: 1100kg Rated voltage: HV, three-phase AC35kV LV1, three-phase AC400V LV2 (excitation), three-phase AC400V Rated capacity: 50kVA; Cooling method: ONAF (with fan) The software languages is used pathon, and the libraries is cuda supported from Invida.
ICACT20220141 Question.2
Questioner: tomayoon@ieee.org    2022-02-15 ¿ÀÈÄ 12:56:00
ICACT20220141 Answer.2
Answer by Auhor liumengup@126.com   2022-02-15 ¿ÀÈÄ 12:56:00
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Will you tell us what is the major achievement of this paper, and also what is further study issue from this? Thanks in advance!! This paper obtained better recognition results than the other two papers, and then more accurate transformer high-frequency partial discharge detection can be achieved. The next step is to update the network model, studing a more complex model, to improve the recognition accuracy, or add other Transformer state quantity, to improve equipment state evaluation level.
ICACT20220141 Question.3
Questioner: namacabale@gmail.com    2022-02-16 ¿ÀÈÄ 8:47:07
ICACT20220141 Answer.3
Answer by Auhor liumengup@126.com   2022-02-16 ¿ÀÈÄ 8:47:07
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Dear Author, you have a very good research. Is there an existing technology almost similar to your proposal that has been deployed in real world environment? What does it lack that your work specifically addressed? Thank you and stay safe. Thanks for your questions. This research is supported by state grid shandong electric coorperation, this method will deploy in the analsis of transformations in shandong China. The result use de-noise algorithm and CNN, and get more accurate result than 2 papers as shown in papers, and in the next steps, we will add more information to get more accurate result.