Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ming J"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-19 (2021)
BMC Bioinformatics
BMC Bioinformatics
BackgroundTo classify chest computed tomography (CT) images as positive or negative for coronavirus disease 2019 (COVID-19) quickly and accurately, researchers attempted to develop effective models by using medical images.ResultsA convolutional neura
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:1594-1608
For the data-driven remaining useful life (RUL) prediction for rolling bearings, the traditional machine learning-based methods generally provide insufficient feature representation and adaptive extraction. Although deep learning-based RUL prediction
Publikováno v:
Procedia Manufacturing. 49:55-60
The large load capacity, compact size and high-power density have made planetary gearboxes widely applied in heavy machinery such as wind turbines. Although well designed, planetary gearboxes are vulnerable to fatigue crack because of harsh working e
Publikováno v:
Procedia Manufacturing. 49:155-159
Planetary gearboxes are widely used in machinery such as wind turbines and helicopters. To maximize their effectiveness over their lifecycle, condition monitoring is often used, and proper health indexes can be developed utilizing condition monitorin
Publikováno v:
ISA Transactions. 95:346-357
Frequency band selection (FBS) in rotating machinery fault diagnosis aims to recognize frequency band location including a fault transient out of a full band spectrum, and thus fault diagnosis can suppress noise influence from other frequency compone
Akademický článek
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Akademický článek
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Publikováno v:
Mechanical Systems and Signal Processing. 168:108657
Deep learning methods have shown great potential to provide reliable remaining useful life (RUL) predictions in Prognostics and Health Management applications. However, deep learning models, particularly supervised learning methods, are strongly depe
Publikováno v:
Mechanical Systems and Signal Processing. 167:108524
This paper proposes a new feature extraction method using time–frequency image data for fault diagnosis of variable-speed rotating machinery. Time-frequency representation (TFR) is widely used to analyze time-varying behaviors of rotating machinery
Publikováno v:
Journal of Sound and Vibration. 431:192-211
To achieve planetary gearbox fault classification, vibration signal analysis has been widely employed with rich information about the health status and easy measurement. It is critical to extract features with enough health status information for fau