With the global increase in the deployment of photovoltaic (PV) modules in recent years, the
need to explore and understand their reported failure mechanisms has become crucial …

In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …

This study aims to build a photovoltaic (PV) plant maintenance and operation system, using
an unmanned aerial vehicle (UAV) carrying a thermal imager to take images. In the …

Photovoltaic systems provide an eco-friendly key to meet our increasing energy demand
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …

Accurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment
risk and increasing the bankability of the PV technology. The application of fault diagnostic …

Accurate identification of faulty photovoltaic (PV) modules is crucial for the effective
operation and maintenance of PV systems. Deep learning (DL) algorithms exhibit promising …

The rapid growth of photovoltaic solar energy, to achieve decarbonization, has been
accompanied by increasing land occupation and the subsequent concern in the agroforestry …

A robust and efficient segmentation framework is essential for accurately detecting and
classifying various defects in electroluminescence images of solar PV modules. With the …

In this paper, a novel hybrid model for the fault diagnosis of photovoltaic (PV) modules was
developed. The model combines a convolutional neural network (CNN) with a machine …

Identifying stator imbalance problems in induction machines (IMs) is crucial to preserving
operating efficiency, reliability, and safety. This identification contributes to the IM's overall …