With the development of automated and integrated large-scale industrial systems, accurate
and effective fault diagnosis methods are required to ensure the security and reliability of …

Intelligent equipment fault diagnosis based on federated transfer learning (FTL) attracts
considerable attention from both academia and industry. It allows real-world industrial …

Gear is an important component of mechanical equipment. Its health state will affect the
operation of the whole equipment. Therefore, the remaining useful life (RUL) prediction of …

The gearbox is an important component in the mechanical transmission system and plays a
key role in aerospace, wind power and other fields. Gear failure is one of the main causes of …

As the core component of a gas turbine, the health condition of the main bearing has a
crucial impact on the safe operation of the gas turbine. However, the distribution …

Intelligent fault diagnosis methods have shown obvious advantages in health management
of mechanical equipment and have been widely studied by scholars. Furthermore, diagnosis …

Gear tooth fault detection typically requires the installation of additional sensors such as
vibration and acoustic emission sensors. However, this approach usually has limitations …

Ensuring safe machine operation in industrial environments requires accurate bearing fault
diagnosis. However, maintaining consistent data distribution between input training and test …

Most disconnector fault diagnosis methods have high accuracy in model training. However,
it is a challenging task to maintain high accuracy, a faster diagnosis speed, and less …

In real industry, local damages often appear on multiple parts of bearings simultaneously
and these compound faults coupling heavily troubles those regular diagnosis methods. In …