With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

Mechanical intelligent fault diagnosis is an important method to accurately identify the health
status of mechanical equipment and ensure its safe operation. With the advent of the “big …

With the development of industry, more and more crucial mechanical machinery generate
wildness demand of effective fault diagnosis to ensure the safe operation. Over the past few …

In the age of industry 4.0, deep learning has attracted increasing interest for various
research applications. In recent years, deep learning models have been extensively …

Deep transfer learning has attracted many attentions in machine intelligent fault diagnosis.
However, most existed deep transfer learning algorithms encounter difficulties to detect a …

Investigation of deep transfer learning on machinery fault diagnosis is helpful to overcome
the limitations of a large volume of training data, and accelerate the practical applications of …

The rapid development forms a new transition of information technologies to offer an
intelligent manufacturing. The manufacturer has revolutionized the stages of product …

Deep learning has gained a great achievement in the intelligent fault diagnosis of rotating
machineries. However, the labeled data is scarce in actual engineering and the marginal …

Abstract Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …

With movement toward complication and automation, modern machinery equipment
encounters the problems of diversity and complex origination of faults, incipient weak faults …