Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

In recent years, with the development of wind energy, the number and scale of wind farms
have been develo** rapidly. Since offshore wind farms have the advantages of stable …

Gearbox failure is one of top-ranked factors leading to the unavailability of wind turbines
(WTs). Existing data-driven studies of gearbox failure detection (GFD) focus on improving …

For accurately identifying the crack severity of turbine blades, a novel intelligent diagnosis
framework is proposed in our paper, which uses multiscale sparse filtering (MSF)-based …

Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

Currently, most fault diagnosis methods for wind turbine gearboxes rely on certain unimodal
signal, such as vibration or current, which cannot enable reliable and satisfactory …

Intelligent fault diagnosis based on multi-sensor fusion has gained considerable attention in
various modern industrial applications. However, it is still challenging to extract …

This study utilized the multi-channel convolutional neural network (MCNN) and applied it to
wind turbine blade and blade angle fault detection. The proposed approach automatically …

To improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox
fault diagnosis system, this article proposes a novel fault diagnosis method by fusing the …

Most of the mechanical fault diagnosis methods of induction motors (IMs) are based on
vibration signals. However, vibration sensors are expensive and require direct contact with …