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Development of a Method for Detecting Abnormal Signals by Analyzing the Sound of an Emergency Diesel Generator Using the Artificial Intelligence (AI)

Hweon-Ki Jo, Song-Hyun Kim, Chang-Lak Kim
  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/426952
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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)
2021 추계학술논문요약집 (2021.11)
p.291
한국방사성폐기물학회 (Korean Radioactive Waste Society)
키워드
Artificial intelligence (AI)Emergency diesel generator (EDG)Convolutional neural network (CNN)SpectrogramAutoEncoderThreshold
저자
  • Hweon-Ki Jo(KEPCO International Nuclear Graduate School, 658-91, Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan)
  • Song-Hyun Kim(KEPCO International Nuclear Graduate School, 658-91, Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan)
  • Chang-Lak Kim(KEPCO International Nuclear Graduate School, 658-91, Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan)
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