The rapid growth of the solar industry over the past several years has expanded the
significance of photovoltaic (PV) systems. Fault analysis in solar photovoltaic (PV) arrays is a …

This paper presents an optimal design of the inner rotor pole in a radial flux reluctance magnetic
gear (RRMG), which features simple, robust structure and lower cost than its traditional …

Nowadays, Distributed Generation (DG), especially PV systems, as - new sources of power,
has attracted a considerable rate of investment. Fault detection and analysis in solar …

Transformer winding mechanical fault detection by Ultra Wide Band (UWB) Sensors has
been recently proposed. In this paper, modal analysis technique has been used to detect and …

In this paper, the problem of modeling, detecting, and identifying faults using an artificial
neural network (ANN) for an isolated photovoltaic (PV) system, is addressed. The considered …

… (17), the method squeezes the data to a closed interval between 0 and 1:(17) a ′ = a - m i
n B m a x B - m i n B where a is the original value of a feature B, a' is its normalized value, and …

In this paper, we consider a machine learning approach merged with statistical testing hypothesis
for enhanced fault detection performance in photovoltaic (PV) systems. The developed …

In this paper a model-based procedure for fault detection and diagnosis of photovoltaic
modules is presented. A four-layered feedforward artificial neural network learns the correlation …

… Fenomena Degradasi ini terbagi menjadi beberapa jenis, yaitu discoloration, delamination,
dan crack in layer yang telah dijelaskan oleh Sabbaghpur dan Hejazi (Arani & Hejazi, 2016). …

Solar module efficiency and dependability can be improved by detecting faults and monitoring
their condition. This study examines the limitations and challenges of diagnosing solar …