A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection

AAT Anvar, H Mohammadi - Computers in Industry, 2023 - Elsevier
The maintenance of industrial systems is a practical and exciting topic in engineering. High
accuracy in fault detection is essential since failure to detect faults can cause damage and …

[PDF][PDF] 单叶片离心泵空化诱导噪声特性

郎涛, 孙振新, 金力成, 陈刻强, 徐恩翔 - 排灌机械工程学报, 2023 - aeeisp.com
为研究单叶片离心泵空化诱导的噪声特性, 准确判断空化进程, 通过搭建试验台进行空化试验,
分析泵在额定工况下的空化特性. 针对单叶片离心泵在正常空化, 初生空化和严重空化等3 …

Recognition of cavitation characteristics in non-clogging pumps based on the improved Lévy flight bat algorithm

T Lang, C Ni, K Chen, E Xu, J Yin, X Shen… - Frontiers in Energy …, 2023 - frontiersin.org
The performance and operational stability of non-clogging pumps can be affected by
cavitation. To accurately identify the cavitation state of the non-clogging pump and provide …

Machine learning-based prediction of NPSH, noise, and vibration levels in radial pumps under cavitation conditions

N Orhan, M Kurt, H Kırılmaz… - Tekirdağ Ziraat Fakültesi …, 2024 - dergipark.org.tr
Cavitation, a physical phenomenon that detrimentally affects pump performance and
reduces pump life, can cause wear on pump elements. Various engineering methods have …