Condition monitoring and fault diagnosis have been critical for the optimal scheduling of
machines, improving the system reliability and the reducing maintenance cost. In recent …

High-dimensional and unlabeled data collected from multi-sensor is a common scenario in
practical production. The fault diagnosis and health stage (HS) division of bearing under …

Rolling bearings are often exposed to high speeds and pressures, leading to the symmetry
in their rotating structure being disrupted, which can lead to serious failures. Intelligent …

Fault diagnosis plays an important role in intelligent manufacturing. Knowledge modelling is
often used for intelligent fault diagnosis purposes, and link prediction is performed in …

With the advancement of internet of things (IoT) and artificial intelligence (AI) technology,
access to large-scale bilingual parallel data has become more efficient, thereby accelerating …

With the rapid development of artificial intelligence, various fault diagnosis methods based
on the deep neural networks have made great advances in mechanical system safety …