V
Violeta Holmes
Researcher at University of Huddersfield
Publications - 74
Citations - 1584
Violeta Holmes is an academic researcher from University of Huddersfield. The author has contributed to research in topics: Photovoltaic system & Fault detection and isolation. The author has an hindex of 18, co-authored 71 publications receiving 1186 citations. Previous affiliations of Violeta Holmes include Durham University.
Papers
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Comparing Mamdani Sugeno fuzzy logic and RBF ANN network for PV fault detection
TL;DR: A new fault detection algorithm for photovoltaic (PV) systems based on artificial neural networks (ANN) and fuzzy logic system interface and both Mamdani, Sugeno fuzzy logic systems interface is proposed.
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Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system
TL;DR: A fault detection algorithm based on the analysis of the theoretical curves which describe the behavior of an existing PV system can accurately detect different faults occurring in the PV system, where the maximum detection accuracy of before considering the fuzzy logic system is equal to 95.27%.
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Fault detection algorithm for grid-connected photovoltaic plants
Mahmoud Dhimish,Violeta Holmes +1 more
TL;DR: A system capable of simulating the theoretical performances of PV systems and to enable statistical analysis of PV measured data is created and results indicate that the fault detection algorithm can detect and locate accurately different types of faults.
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The impact of cracks on photovoltaic power performance
TL;DR: In this article, a statistical analysis approach, which uses T-test and F-test for identifying whether the crack has significant impact on the total amount of power generated by the photovoltaic (PV) modules, is presented.
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The Blind Men and the Elephant: Towards an Empirical Evaluation Framework for Software Sustainability
Colin C. Venters,Lydia Lau,Michael K. Griffiths,Violeta Holmes,Rupert Ward,Caroline Jay,Charlie E. Dibsdale,Jie Xu +7 more
TL;DR: A definition of software sustainability is proposed and how it can be measured empirically in the design and engineering process of software systems is considered.