http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A DNN-Based Fault Detection & Isolation Technology for Solenoid Pumps
U. E. Akpudo(Ugochukwu Ejike Akpudo),J. W. Hur(허장욱) 한국기계가공학회 2021 한국기계가공학회 춘추계학술대회 논문집 Vol.2021 No.6
Vibration monitoring has shown reliable efficiencies in fault detection and isolation (FDI) since they reflect operational conditions. Reliable signal processing techniques provide reliable FDI parameters for artificial intelligence-based data-driven diagnostics. This study employs a deep neural network (DNN) for diagnosis after correlation-based discriminative feature selection. Results show a reliable test accuracy of 95.6% with a minimal false alarm rate.