연구동향 분석

초고압 압축기 고장 예측 및 속성 제어를 위한 설명 가능한 앙상블 모델 = Explainable Ensemble Model for Hyper Compressor Failure Prediction and Feature Control

천강민 2020년

논문상세정보
인용/피인용
' 초고압 압축기 고장 예측 및 속성 제어를 위한 설명 가능한 앙상블 모델 = Explainable Ensemble Model for Hyper Compressor Failure Prediction and Feature Control' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • XGBoost
  • Anomaly Detection
  • Explainable AI
  • Predictive maintenance
  • STL decompose
  • clustering
  • ensemble
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
720 0

0.0%

' 초고압 압축기 고장 예측 및 속성 제어를 위한 설명 가능한 앙상블 모델 = Explainable Ensemble Model for Hyper Compressor Failure Prediction and Feature Control' 의 참고문헌

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