Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy  Logic System

Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System

Mahmoud Dhimish

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Violeta Holmes

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Bruce Mehrdadi

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Mark Dales

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Peter Mather

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1 University of Huddersfield

GJRE Volume 17 Issue F5

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Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System Banner

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References

John Kaldellis,Marina Kapsali,Kosmas Kavadias (2014). Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece.
R Eke,T Betts,R Gottschalg (2017). Spectral irradiance effects on the outdoor performance of photovoltaic modules.
Mahmoud Dhimish,Violeta Holmes (2016). Fault detection algorithm for grid-connected photovoltaic plants.
M Saidan,A Albaali,E Alasis,J Kaldellis (2016). Experimental study on the effect of dust deposition on solar photovoltaic panels in desert environment.
M Ramli,E Prasetyono,R Wicaksana,N Windarko,K Sedraoui,Y Al-Turki (2016). On the investigation of photovoltaic output power reduction due to dust accumulation and weather conditions.
Mahmoud Dhimish,Violeta Holmes,Bruce Mehrdadi,Mark Dales (2017). The impact of cracks on photovoltaic power performance.
A Dolara,G Lazaroiu,S Leva,G Manzolini,L Votta (2016). Snail trails and cell microcrack impact on PV module maximum power and energy production.
M Dhimish,V Holmes,M Dales,B Mehrdadi (2017). The effect of micro cracks on photovoltaic output power: case study based on real time long term data measurements.
Mohammed Alam,Faisal Khan,Jay Johnson,Jack Flicker (2015). A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques.
J Tsanakas,L Ha,C Buerhop (2016). Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges.
Takumi Takashima,Junji Yamaguchi,Kenji Otani,Takashi Oozeki,Kazuhiko Kato,Masayoshi Ishida (2009). Experimental studies of fault location in PV module strings.
L Schirone,F Califano,M Pastena (1994). Fault detection in a photovoltaic plant by time domain reflectometry.
Mahmoud Dhimish,Violeta Holmes,Mark Dales (2017). Parallel fault detection algorithm for grid-connected photovoltaic plants.
Santiago Silvestre,Mário Silva,Aissa Chouder,Daniel Guasch,Engin Karatepe (2014). New procedure for fault detection in grid connected PV systems based on the evaluation of current and voltage indicators.
S Vergura,G Acciani,V Amoruso,G Patrono,F Vacca (2009). Descriptive and Inferential Statistics for Supervising and Monitoring the Operation of PV Plants.
M Miwa,S Yamanaka,H Kawamura,H Ohno (2006). Diagnosis of a power output lowering of PV array with a (-dI/dV)-V characteristic.
Mahmoud Dhimish,Violeta Holmes,Bruce Mehrdadi,Mark Dales,Benjamin Chong,Li Zhang (2017). Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions.
Kari Lappalainen,Seppo Valkealahti (2017). Output power variation of different PV array configurations during irradiance transitions caused by moving clouds.
M Saidan,A Albaali,E Alasis,J Kaldellis (2016). Experimental study on the effect of dust deposition on solar photovoltaic panels in desert environment.
Makbul Ramli,Eka Prasetyono,Ragil Wicaksana,Novie Windarko,Khaled Sedraoui,Yusuf Al-Turki (2016). On the investigation of photovoltaic output power reduction due to dust accumulation and weather conditions.
Mahmoud Dhimish,Violeta Holmes,Bruce Mehrdadi,Mark Dales (2017). Diagnostic method for photovoltaic systems based on six layer detection algorithm.
Mahmoud Dhimish,Violeta Holmes,Bruce Mehrdadi,Mark Dales (2017). Multi‐layer photovoltaic fault detection algorithm.
S Roy,A Mallik,R Gulati,M Obaidat,P Krishna (2017). A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection.
Ken Kow,Yee Wong,Rajparthiban Rajkumar,Rajprasad Rajkumar,Dino Isa (2017). Incremental Unsupervised Learning Algorithm for Power Fluctuation Event Detection in PV Grid-Tied Systems.
Fermín Mallor,Teresa León,Liesje De Boeck,Stefan Van Gulck,Michel Meulders,Bart Van Der Meerssche (2017). A method for detecting malfunctions in PV solar panels based on electricity production monitoring.
Zhihua Li,Yuanzhang Wang,Diqing Zhou,Chunhua Wu (2012). An Intelligent Method for Fault Diagnosis in Photovoltaic Array.
Pietro Ducange,Michela Fazzolari,Beatrice Lazzerini,Francesco Marcelloni (2011). An intelligent system for detecting faults in photovoltaic fields.
Luca Bonsignore,Mehrdad Davarifar,Abdelhamid Rabhi,Giuseppe Tina,Ahmed Elhajjaji (2014). Neuro-Fuzzy Fault Detection Method for Photovoltaic Systems.
Mahmoud Dhimish,Violeta Holmes,Mark Dales,Peter Mather,Martin Sibley,Benjamin Chong,Li Zhang (2017). Fault detection algorithm for multiple GCPV array configurations.
M Alejnikova (1976). životiioe naseltnie pocv l ego izmenenie pod vlljanitin autropieskich lakterev.
M Alejnikova (1976). životiioe naseltnie pocv l ego izmenenie pod vlljanitin autropieskich lakterev.
(2018). Technical Programme.
If (PVD is 3-FaultyBypassDiodes) and.
Walter Olbrich (1994). PVD-Verfahrenstechnologie.
G Borovsky,S Grigoryev,S Molodyk (2015). Gas-tight PVD coatings.
G Borovsky,S Grigoryev,S Molodyk (2015). Gas-tight PVD coatings.
If (PVD is 3-FaultyBypassDiodes) and.
(2018). Technical Programme.
(1998). PVD lubricant coating.
(1998). PVD lubricant coating.
If (PVD is 3-FaultyBypassDiodes) and.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Mahmoud Dhimish. 2017. \u201cDetecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F5): .

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GJRE Volume 17 Issue F5
Pg. 33- 44

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 290901

Submission ReceivedDecember 6, 2016
RevisedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted January 2, 2017
Published January 15, 2017

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Issue date

October 2, 2017

Language

English

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Total Score: 135

Country: United Kingdom

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Mahmoud Dhimish, Violeta Holmes, Bruce Mehrdadi, Mark Dales, Peter Mather (PhD/Dr. count: 0)

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