연구동향 분석
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Training approaches for deep learning based fault diagnosis of rotating machinery overcoming fault data insufficiency

김현재 2020년

논문상세정보
인용/피인용
' Training approaches for deep learning based fault diagnosis of rotating machinery overcoming fault data insufficiency' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 응용 물리
  • Convolution neural networks
  • Data augmentation
  • Deep learning
  • Diagnosis for different operating conditions
  • Fault diagnosis
  • Rolling element bearing
  • Rotating machinery
  • Transfer learning
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,282 0

0.0%

' Training approaches for deep learning based fault diagnosis of rotating machinery overcoming fault data insufficiency' 의 참고문헌

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