In the condition monitoring of rotating systems, overfitting is a common challenge due to
limited data history, which reduces the effectiveness of fault detection frameworks; this …

The mechanical fault diagnosis of HVCB is important to ensure the stability of electric power
systems. Aiming at the problem of poor diagnostic performance of deep learning methods …

The operational health of wind turbine blades (WTBs) is crucial to the efficiency and
reliability of wind power generation. Ensuring effective monitoring of WTBs is vital to …

Data scarcity, coupled with environmental and operational variabilities (EOVs), poses
substantial challenges to the generalisability and robustness of damage diagnostic methods …

Traditional diagnostic methods for multifunction vehicle bus (MVB) faults often depend on
feature extraction and classification, which typically require substantial expert experience …

PCBs (printed circuit boards) are the core components of modern electronic devices, and
inspecting them for defects will have a direct impact on the performance, reliability and cost …

Insulation pull rods used in gas-insulated switchgear (GIS) inevitably contain the micro
defects generated during production. The intelligent identification method, which requires …

The detection of boiler water-wall tube leakage in steam power plants is essential to prevent
efficiency loss, unexpected shutdowns, and costly repairs. This study proposes a hybrid …

Regular aircraft engine inspections play a crucial role in aviation safety. However, traditional
inspections are often performed manually, relying heavily on the judgment and experience …