Gearbox fault diagnosis is of great significance to avoid accidents and reduce operation and
maintenance costs for machinery such as the quayside container crane. In recent years …

The application of edge computing combined with the Internet of Things (edge-IoT) has
been rapidly developed. It is of great significance to develop a lightweight network for …

To obtain an effective data mining method for cable-stayed bridge damage diagnosis, the
algorithm of the cable-stayed bridge damage diagnosis model based on data mining was …

Early fault detection is crucial to avoid catastrophic flight accidents caused by unplanned
downtime of equipment. Aimed at the shortcomings of feature selection and early fault …

The issue of data-driven cross-domain fault diagnosis for rolling bearings has been
effectively addressed through advancements in domain adaptation (DA) methods. However …

This paper proposes an intelligent approach based on the empirical Fourier decomposition
(EFD) to identify harmonic sources at the point of common coupling (PCC) when different …

In various and complex industrial scenarios, the fault data acquisition of planetary
transmission system is expensive and unavailable, thus intelligent fault diagnosis under …

Rotating machinery generally operates under adverse working conditions due to its specific
function requirement in industrial equipment, the mechanical faults with different root causes …

As a classical demodulation method, envelope spectrum (ES) has been used in rotating
machinery fault diagnosis. However, for strong noise or multiple faults, the feature extraction …

The absence of detailed fault data presents a significant challenge in diagnosing faults of
rotating machinery. This paper focuses on addressing abnormal detection and fault …