Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …

Wind turbines play a crucial role in renewable energy generation systems and are frequently
exposed to challenging operational environments. Monitoring and diagnosing potential …

Hydraulic systems are usually applied in large and complex engineering fields. For
hydraulic systems or components in operation, it is difficult to obtain fault data with fault …

In order to solve the problem of compound fault diagnosis of diesel engine fuel injection
system under the condition of few samples, a comprehensive diagnosis method based on …

In the field of industrial production, machine failures not only negatively affect productivity
and product quality, but also lead to safety accidents, so it is crucial to accurately diagnose …

Both wear-induced bearing failure and misalignment of the powertrain between the rotor
and the electrical generator are common failure modes in wind-turbine motors. In this study …

Tool-wear monitoring plays a crucial role in high-speed cutting machining as it ensures the
accuracy of the machining surface, improves tool utilization, and extends the life of machine …

The lack of labeled data and variable working conditions brings challenges to the
application of intelligent fault diagnosis. Given this, extracting labeled information and …

Abstract Rolling Bearing Compound Fault (RBCF) is characterized by randomness,
sequentiality, coupling, and concealment, which is one of the primary causes for …

The underwater optical imaging environment presents unique challenges due to its
complexity. This paper addresses the limitations of existing algorithms in handling …