Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System"
written by Mehrdad Davarifar, Abdelhamid Rabhi, Ahmed El Hajjaji,
published by Energy and Power Engineering, Vol.5 No.4B, 2013
has been cited by the following article(s):
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[11] Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review
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[12] A new monitoring technique for fault detection and classification in PV systems based on rate of change of voltage-current trajectory
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[13] A State-of-the-Art Review of Fire Safety of Photovoltaic Systems in Buildings
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[14] Material Based Fault Detection Methods for PV Systems
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[15] Diagnose Algorithm and Fault Characterization for Photovoltaic Arrays: A Simulation Study
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[17] A technique for fault detection, identification and location in solar photovoltaic systems
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[18] Computation of Power Extraction From Photovoltaic Arrays Under Various Fault Conditions
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[19] Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network
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[20] A unified approach for analysis of faults in different configurations of PV arrays and its impact on power grid
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[21] Investigation of diode dynamic effect on fault detection of photovoltaic systems
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[22] Fault-tolerant control of inverter for the integration of solar PV under abnormal conditions
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[23] Fault‐tolerant control of inverter for the integration of solar PV under abnormal conditions
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[25] On-Field Operation and Maintenance of Photovoltaic Systems in Cameroon
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[27] Machine learning-based statistical testing hypothesis for fault detection in photovoltaic systems
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[31] Departamento de Ingeniería Mecánica, Universidad Nacional de Colombia, Bogotá, Colombia
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[32] Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques
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[33] A Review On Fault Detection and Diagnosis Methods for Solar and Wind Energy Conversion Systems
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[35] Fault detection and diagnosis methods for photovoltaic systems: A review
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[36] Simulation of Arcing Fault in PV Panel Network
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[37] Analyzing Defects of Solar Panels under Natural Atmospheric Conditions with Thermal Image Processing
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[38] Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems
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[42] On-Line Faults Detection and Classification in PV Array Using Bayesian and K-Nearest Neighbor Classifier
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[43] Challenges to overcurrent protection devices in PV array during winter and low irradiation conditions in Australia
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[44] LabVIEW-based intelligent system of protection against electric shock for photovoltaic installations
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[55] DC-Side Fault Detection for Photovoltaic Energy Conversion System Using Fractional-Order Dynamic-Error-based Fuzzy Petri Net Integrated with …
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[60] An Overview of Faults and Health Monitoring Estimation of Solar Photovoltaic Power Generation
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[61] Real-Time Arc Fault Detection in Photovoltaic DC Systems
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[62] DC‐side fault detection for photovoltaic energy conversion system using fractional‐order dynamic‐error‐based fuzzy Petri net integrated with intelligent meters
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[63] KF‐based technique for detection of anomalous condition of the PV panels
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[64] Comparative efficiency study of single phase photovoltaic grid connected inverters using PLECS®
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[65] New Algorithm for Fault Diagnosis of Photovoltaic Energy Systems
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[66] PERMANENT MISMATCH FAULT IDENTIFICATION OF PHOTOVOLTAIC CELLS USING ARDUINO
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[67] Photovoltaic Energy Conversion System Fault Detection Using Fractional-Order Color Relation Classifier in Microdistribution Systems
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[68] Electric Bike Photovoltaic Charging Station (PV-CS): Experimental Design for Electrical Fault Investigations
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[69] Real-time diagnosis of PV system by using the Sequential Probability Ratio Test (SPRT)
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[70] Neuro-Fuzzy Fault Detection Method for Photovoltaic Systems
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[71] New method for fault detection of PV panels in domestic applications
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[72] Real-time model base fault diagnosis of PV panels using statistical signal processing
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