Fault diagnosis of mechanical equipment using data-driven machine learning methods has
been developed recently as a promising technique for improving the reliability of industrial …

In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an
essential part of improving machine life, reducing economic losses, and avoiding safety …

In the aerospace industry, automated fibre laying processes are often applied for
economical composite part fabrication. Unfortunately, the current mandatory visual quality …

With the support of Internet of Vehicles technology, UBI (Usage Based Insurance) car
insurance rate determination has certain guiding significance for achieving accurate pricing …

An accurate assessment of the damp status of oil-impregnated paper (OIP) bushings is
crucial for the power industry to make informed decisions on the maintenance and …

Abstract Painting is a work of art with various strokes, textures, and color gradations so that a
painting that is synonymous with beauty is created. The various paintings created have …

Because of its accuracy, Convolutional Neural Network (CNN) has become an important
method in the field of fault diagnosis. However, the traditional CNN has a long time of …

Aiming at the problem of the low bearing faults identification accuracy of the method based
on the deep neural network under small samples and multiple working conditions, a novel …

在传统卷积神经网络与分类器相结合的故障诊断方法中, CNN 用于故障特征提取时,
存在着提取的特征质量不高与运行时间较长的问题. 针对以上问题, 本文提出了一种基于改进单 …

Computer-Aided Screening (CAS) systems are getting popularity in disease diagnosis.
Modern CAS systems exploit data driven machine learning algorithms including supervised …