@inproceedings{5da8c4a089cb4a3980b5b5123f9c2f9a,
title = "Detection of increased series losses in PV arrays using Fuzzy Inference Systems",
abstract = "There are well-defined methods to measure the (increased) series resistance of PV panels in controlled laboratory conditions. However, the presence of various irradiance levels and partial shadows, in case of an outdoor installation, may affect the series resistance estimation. This paper focuses on the estimation of increased series resistance in outdoor conditions in various irradiance levels and partial shadow conditions. A diagnostic method that is able to detect an increase in series resistance based on fuzzy classifiers is presented and experimentally validated.",
keywords = "Photovoltaic power systems, series losses, Fault Detection, Fault diagniosis, Fuzzy System, condition monitoring",
author = "Sergiu Spataru and Dezso Sera and Tamas Kerekes and Remus Teodorescu",
year = "2012",
doi = "10.1109/PVSC.2012.6317658",
language = "English",
isbn = "978-1-4673-0064-3",
series = "I E E E Photovoltaic Specialists Conference. Conference Record",
publisher = "IEEE Press",
pages = "000464--000469 ",
booktitle = "Proceedings of the 38th IEEE Photovoltaic Specialists Conference (PVSC), 2012",
note = "38th IEEE Photovoltaic Specialists Conference, 38th IEEE PVSC ; Conference date: 03-06-2012 Through 08-06-2012",
}