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電能科技組
古峰昌Feng-Chang Gu
職  稱
副教授
學  歷
國立臺灣科技大學電機工程系博士
信  箱
電  話
7259
研 究 室
工程館E326
專長
電力設備絕緣檢測分析、故障診斷方法、電力系統
教師留校時間
  星期一 星期二 星期三 星期四 星期五 星期六 星期日
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簡要經歷
服務機關 服務部門/系所 職稱 起訖年月
台灣積體電路製造股份有限公司 廠務部 主任工程師 2014/10~2017/09
主要授課課程
自動控制、電力系統、產業實務實習、監控系統設計及實習、發變電工程
期刊論文

Scopus:https://www.scopus.com/authid/detail.uri?authorId=26027481400

 

  • Feng-Chang Gu*, “Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus,” IET Science, Measurement and Technology, vol. x, no. x, pp. xxx-xxx, 2022. (SCI/EI) Accepted.
  • Chia-Hung Lin*, Feng-Chang Gu, Jian-Xing Wu, and Chao-Lin Kuo*, “Nontechnical loss detection with duffing–holmes self-synchronization dynamic errors and 1D CNN-based multilayer classifier in a smart grid,” IEEE Access, vol. 10, pp. 83002-83016, 2022. (SCIE), (IF=3.478)
  • Feng-Chang Gu, Hung-Cheng Chen*, “Modeling and control of vanadium redox flow battery for smoothing wind power fluctuation,”IET Renewable Power Generation, vol. 15, no. 15 pp. 3552-3563, 2021. (SCI/EI) (IF:3.93)
  • Feng-Chang Gu, Hung-Cheng Chen*, “An anti-fluctuation compensator design and its control strategy for wind farm system,”Energies, vol. 14, no. 19, 6413. (SCI/EI) (IF:3.004)
  • Feng-Chang Gu*, “Identification of partial discharge defects in gas-insulated switchgears by using a deep learning method,” IEEE ACCESS, vol. 8, pp. 163894-163902, 2020. (SCI/EI) (IF:3.367)
  • Feng-Chang Gu, Hung-Cheng Chen*, Kun-Yi Li, “Mathematic modeling and performance analysis of vanadium redox flow battery,”Energy & Fuels, vol. 34, no. 8 pp. 10142-10147, 2020. (SCI/EI) (IF:3.605)
  • Shing-Lih Wu, Shin-Shiuan Li, Feng-Chang Gu, Po-Hung Chen, and Hung-Cheng Chen*, “Application of supercapacitors in photovoltaic power generation system,” Sensors and Materials, vol. 31, no. 11, pp. 3583-3597, 2019. (SCI/EI) (IF:0.4)
  • Feng-Chang Gu, Hong-Chan Chang*, Yu-Min Hsueh, Cheng-Chien Kuo, and Bo-Rui Chen, “Development of a high-speed data acquisition card for partial discharge measurement,”IEEE ACCESS, vol. 7, pp. 140312-140318, 2019. (SCI/EI) (IF:3.367)
  • Feng-Chang Gu, Shiue-Der Lu, Jian-Xing Wu, Chao-Lin Kuo, Chia-Hung Lin*, and Shi-Jaw Chen, “Interruptible power estimation and auxiliary service allocation using contract theory and dynamic game for demand response in aggregator business model,”IEEE ACCESS, vol. 7, pp. 129975-129987, 2019. (SCI/EI) (IF:3.367)
  • Feng-Chang Gu, Her-Terng Yau, and Hung-Cheng Chen*, “Application of chaos synchronization technique and pattern clustering for diagnosis analysis of partial discharge in power cables,”IEEE ACCESS, vol. 7, pp. 76185-76193, 2019. (SCI/EI) (IF:3.367)
  • Feng Chang Gu, Hung Cheng Chen*, and Bo Yan Chen, “A fractional Fourier transform-based approach for gas-insulated switchgear partial discharge recognition,”Journal of Electrical Engineering & Technology, vol. 14, no. 5, pp. 2073-2084, 2019. (SCI/EI) (IF:0.736)
  • Feng-Chang Gu, Hung-Cheng Chen*andMeng-Hung Chao, “Application of improved Hilbert-Huang transform to partial discharge signal analysis,”IEEE Transactions on Dielectrics and Electrical Insulation, vol. 25, no. 2, pp. 668-677, 2018. (SCI/EI) (IF:2.324)
  • Feng-Chang Gu, Hung-Cheng Chen*andMeng-Hung Chao, “Application of improved Hilbert–Huang transform to partial discharge defect model recognition of power cables,”Applied Sciences, vol. 7, no. 10, 1021, 2017. (SCI/EI) (IF :2.048)
  • Feng-Chang Gu, Hong-Chan Chang*, andCheng-Chien Kuo, “Gas-insulated switchgear PD signal analysis based on Hilbert–Huang transform with fractal parameters enhancement,”IEEE Transactions on Dielectrics and Electrical Insulation, vol. 20, no. 4, pp. 1049-1055, 2013. (SCI/EI) (IF :2.324)
  • Feng-Chang Gu, Hong-Chan Chang*, Fu-Hsien Chen, Cheng-Chien Kuo, and Chao-Hsiang Hsu, “Application of the Hilbert–Huang transform with fractal feature enhancement on partial discharge recognition of power cable joints,” IET Science, Measurement and Technology, vol. 6, no. 6, pp. 440-448, 2012. (SCI/EI)
  • Hung-Cheng Chen*andFeng-Chang Gu, “Pattern recognition with cerebellar model articulation controller and fractal features on partial discharges,” Expert Systems with Applications, vol. 39, no. 7, pp. 6575-6584, 2012. (SCI/EI)
  • Fu-Hsien Chen, Hong-Chan Chang*, Feng-Chang Gu, Cheng-Chien Kuo, Chao-Hsiang Hsu, “A fault types recognition system of power cable joint by Hilbert–Huang transform with fractal feature enhancement through mountain clustering,” Advanced Science Letters, vol. 14, no. 1, pp. 60-68, July 2012. (SCI/EI)
  • Feng-Chang Gu, Hong-Chan Chang*, Fu-Hsien Chen, and Cheng-Chien Kuo, “Partial discharge pattern recognition of power cable joints using extension method with fractal feature enhancement,” Expert Systems with Applications, vol. 39, no. 3, pp. 2804-2812, 2012. (SCI/EI)
  • Hung-Cheng Chen*, Feng-Chang Gu, and Meng-Hui Wang, “A novel extension neural network based partial discharge pattern recognition method for high-voltage power apparatus,” Expert Systems with Applications, vol. 39, no. 3, pp. 3423-3431, 2012. (SCI/EI)
  • Hung-Cheng Chen*, Feng-Chang Gu, and Chun-Yao Lee, “A new method based on extension theory for partial discharge pattern recognition,” WSEAS Transaction on Systems, vol. 7, no. 12, pp.1402-1411, 2008. (EI)
計畫與產學合作
年度 補助類別 學門代碼 計畫名稱 擔任工作
111 專題研究計畫
(一般研究計畫)
其他–能源科技 應用超解析度測試序列法於放電圖譜辨識 計畫主持人
110 專題研究計畫
(新進人員研究計畫)
其他–能源科技 應用分形特徵擷取法於交聯聚乙烯接續匣局部放電瑕疵識別 計畫主持人
109 專題研究計畫
(產學合作研究計畫)
電力系統 局部放電降頻電路研製及瑕疵辨識 計畫主持人
108 專題研究計畫
(產學合作研究計畫-應用型)
再生能源 太陽能面板最佳清潔時機研究 計畫主持人
107 專題研究計畫
(新進人員研究計畫
電機機械 基於混沌理論於局部放電特徵擷取與辨識系統整合 計畫主持人