Journal ArticleDOI
Fault diagnosis of photovoltaic modules through image processing and Canny edge detection on field thermographic measurements
TLDR
In this article, the authors proposed the use of thermal image processing and the Canny edge detection operator as diagnostic tools for module-related faults that lead to hot-spot heating effects.Abstract:
Today, conventional condition monitoring of installed, operating photovoltaic (PV) modules is mainly based on electrical measurements and performance evaluation. However, such practices exhibit restricted fault-detection ability. This study proposes the use of standard thermal image processing and the Canny edge detection operator as diagnostic tools for module-related faults that lead to hot-spot heating effects. The intended techniques were applied on thermal images of defective PV modules, from several field infrared thermographic measurements conducted during this study. The whole approach provided promising results with the detection of hot-spot formations that were diagnosed to specific defective cells in each inspected module. These evolving hot spots lead to abnormally low performance of the PV modules, a fact that is also validated by the manufacturer's standard electrical tests.read more
Citations
More filters
Journal ArticleDOI
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
TL;DR: This paper discusses the automatic detection of metallic defects with a twofold procedure that accurately localizes and classifies defects appearing in input images captured from real industrial environments using a novel cascaded autoencoder (CASAE) architecture.
Journal ArticleDOI
Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges
TL;DR: In this article, the authors present a comprehensive effort to review and highlight recent advances, ongoing research and future prospects, as reported in the literature, on the classification of faults in crystalline silicon (c-Si) PV modules and advanced diagnosis in the field, by means of the increasingly popular method of infrared thermal (IRT) imaging.
Journal ArticleDOI
Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review
Santolo Daliento,Aissa Chouder,Pierluigi Guerriero,A. Massi Pavan,Adel Mellit,R. Moeini,Pietro Tricoli +6 more
TL;DR: A wide literature review of recent advance on monitoring, diagnosis, and power forecasting for photovoltaic systems is presented in this paper, where the authors classified contributions into the following five macro-areas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar
Journal ArticleDOI
Deep convolutional neural network for automatic detection of damaged photovoltaic cells
Roberto Pierdicca,Eva Savina Malinverni,Fabio Piccinini,Marina Paolanti,Andrea Felicetti,Primo Zingaretti +5 more
TL;DR: This paper presents the novel approach to estimate the PV cells degradations with DCNNs, the first exploitation of data acquired with a drone equipped with a thermal infrared sensor, and results show the effectiveness and the suitability of the proposed approach.
Journal ArticleDOI
Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network.
TL;DR: A novel end-to-end defect detection network (EDDN) based on the Single Shot MultiBox Detector is proposed that can deal with defects with different scales and is robust and can meet accuracy requirements for metallic defect detection.
References
More filters
Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
BookDOI
Handbook of Photovoltaic Science and Engineering: Luque/Photovoltaic Science and Engineering
Antonio Luque,Steven Hegedus +1 more
Journal ArticleDOI
Photographic surveying of minority carrier diffusion length in polycrystalline silicon solar cells by electroluminescence
TL;DR: In this article, the minority carrier diffusion length distribution in polycrystalline silicon solar cells was surveyed by using a charge coupled device camera, and it was found that the intensity distribution of light emission clearly agreed with the mapping of minority carriers diffusion length.
Journal ArticleDOI
A simple correlation for the operating temperature of photovoltaic modules of arbitrary mounting
TL;DR: In this article, a simple semi-empirical explicit correlation for PV cell temperature and the corresponding efficiency form are proposed for modules of arbitrary mounting, and a dimensionless mounting parameter, ω, is introduced rendering the correlations suitable for systems like building-integrated photovoltaic (BIPV) array generators.
Related Papers (5)
Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges
Automatic supervision and fault detection of PV systems based on power losses analysis
Aissa Chouder,Santiago Silvestre +1 more