Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and
flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for …

Gas turbines are widely used in industry, and the combustion chamber, compressor, and
turbine are known as their three important components. In the design process of the …

The original monitoring data from aero-engines possess characteristics such as high
dimensionality, strong noise, and imbalance, which present substantial challenges to …

One of the major challenges facing fault diagnosis tools is their exposure to noise. The
presence of noise may cause false alarms or the inability to detect a progressive fault in the …

Responding to the needs of quality and robustness of analysis and management of
degradation of equipment, to increase their life cycle and to expand these facilities to …

The electrification and intelligentization trends of aeroengine systems present new
challenges for the diagnostics of traditionally centralized control architectures. Scientific and …

In the application of deep learning-based fault diagnosis, more often than not, the network
model could perform better with a balanced dataset input, whereby the number of fault data …

Maintaining optimal tip clearance or tip gap is challenging in the Gas Turbine Engine (GTE).
Meanwhile, the rotor blades should not rub the casing. When the capacitive sensor is used …

The commonplace practice in deep learning is to make use of a balanced dataset, whereby
the number of fault data is equivalent to that of normal data. However, in the context of real …