Abstract: A fault diagnosis method based on convolutional neural networks is proposed to address the issue of poor performance in power communication network fault diagnosis under noisy conditions.

Early fault detection in wind turbines has positive impacts on the costs of repair and maintenance. If the damage is early detected, the damage can be repaired before it increases and generates a ...

The novel PV module fault detection methodology was presented in “Detecting the faults of solar photovoltaic module due to the temperature and shading effect by convolutional neural network ...

Fault diagnosis based on time-domain signals has become mainstream in recent years. Traditional methods require signal processing to extract fault features before feeding them into a neural network ...

Accurate diagnosis of power transformer faults is essential for ensuring the stability and safety of electrical power systems. This research presents a comparative analysis of conventional machine ...

A framework for Inter-turn fault detection in transformers using wavelet analysis and deep ... capturing and processing current waveforms using Continuous Wavelet Transformers (CWT), and feeding them ...