A review on current injection techniques for low-voltage ride-through and grid fault conditions in grid-connected photovoltaic system
In order to meet the increasing energy demands of the modern-day world, the shift towards
renewable energy has proved to be a viable alternative, as it has significantly reduced …
renewable energy has proved to be a viable alternative, as it has significantly reduced …
A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
AH de Andrade Melani… - Reliability Engineering & …, 2021 - Elsevier
Abstract Through Condition-Based Maintenance strategy, planners can monitor the health of
the machinery and recommend actions based on the information obtained. Nevertheless …
the machinery and recommend actions based on the information obtained. Nevertheless …
Genetic-algorithm-based neural network for fault detection and diagnosis: Application to grid-connected photovoltaic systems
Modern photovoltaic (PV) systems have received significant attention regarding fault
detection and diagnosis (FDD) for enhancing their operation by boosting their dependability …
detection and diagnosis (FDD) for enhancing their operation by boosting their dependability …
Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables
MA de Carvalho Michalski, GFM de Souza - Expert Systems with …, 2022 - Elsevier
Maintenance strategies have been playing an increasingly important role in improving
engineering systems' performance, supporting the growth of availability and reliability, and …
engineering systems' performance, supporting the growth of availability and reliability, and …
Shading fault detection in a grid-connected PV system using vertices principal component analysis
Partial shading severely impacts the performance of the photovoltaic (PV) system by causing
power losses and creating hotspots across the shaded cells or modules. Proper detection of …
power losses and creating hotspots across the shaded cells or modules. Proper detection of …
Improved NN-Based Monitoring Schemes for Detecting Faults in PV Systems
This paper presents a model-based anomaly detection method for supervising the direct
current (dc) side of photovoltaic (PV) systems. Toward this end, a framework combining the …
current (dc) side of photovoltaic (PV) systems. Toward this end, a framework combining the …
Fault diagnosis in microgrids with integration of solar photovoltaic systems: A review
Microgrids are essential components to help create the future electric grid which features a
significant penetration of renewable and clean energy resources. However, a critical …
significant penetration of renewable and clean energy resources. However, a critical …
In-situ performance and degradation of three different photovoltaic module technologies installed in arid climate of Morocco
A Bouaichi, A El Amrani, M Ouhadou, A Lfakir… - Energy, 2020 - Elsevier
This paper presents the results of a first-time study on the long-term performance,
degradation and cost analysis of three different PV module technologies-monocrystalline …
degradation and cost analysis of three different PV module technologies-monocrystalline …
Nonlinear robust fault diagnosis of power plant gas turbine using Monte Carlo-based adaptive threshold approach
This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain
nonlinear system using a new adaptive threshold method. In order to determine the bounds …
nonlinear system using a new adaptive threshold method. In order to determine the bounds …
Health monitoring and fault detection in photovoltaic systems in central greece using artificial neural networks
E Roumpakias, T Stamatelos - Applied Sciences, 2022 - mdpi.com
Featured Application The health monitoring of a photovoltaic park is essential for a number
of reasons, including early action to safeguard the profitability of investment and the timely …
of reasons, including early action to safeguard the profitability of investment and the timely …