[go: up one dir, main page]

Alsafasfeh, 2017 - Google Patents

Multiprocessing Real Time Vision Based System for Condition Monitoring in Solar Panels

Alsafasfeh, 2017

View PDF
Document ID
11399350752910386526
Author
Alsafasfeh M
Publication year

External Links

Snippet

Enabling an algorithm to be executed in parallel on a multicore or a multiprocessor system has become a necessity for many real time applications. Multicore systems are widely used to improve performance and satisfy time and power demands. In this dissertation, solar …
Continue reading at scholarworks.wmich.edu (PDF) (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/52PV systems with concentrators
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit

Similar Documents

Publication Publication Date Title
Dunderdale et al. Photovoltaic defect classification through thermal infrared imaging using a machine learning approach
Alsafasfeh et al. Unsupervised fault detection and analysis for large photovoltaic systems using drones and machine vision
Alimi et al. Solar photovoltaic modules’ performance reliability and degradation analysis—A review
Buerhop et al. Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations
Mantel et al. Machine learning prediction of defect types for electroluminescence images of photovoltaic panels
Tang et al. Deep learning-based linear defects detection system for large-scale photovoltaic plants based on an edge-cloud computing infrastructure
Michail et al. A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
Arenella et al. Real time fault detection in photovoltaic cells by cameras on drones
de Oliveira et al. Automatic fault detection of utility-scale photovoltaic solar generators applying aerial infrared thermography and orthomosaicking
Oufadel et al. Data-Driven Digital Inspection of Photovoltaic Panels Using a Portable Hybrid Model Combining Meteorological Data and Image Processing
Naeem et al. Aerial Imaging-Based Soiling Detection System for Solar Photovoltaic Panel Cleanliness Inspection
Singh et al. Prominent solution for solar panel defect detection using AI-based computer vision technology with IoT sensors in the solar panel manufacturing industry
Manasrah et al. Shading anomaly detection framework for bi-facial photovoltaic modules
JP6634333B2 (en) Analysis apparatus, analysis method, and program
Alsafasfeh Multiprocessing Real Time Vision Based System for Condition Monitoring in Solar Panels
CN119107288A (en) Photovoltaic detection optimization method, system and terminal based on deep learning
Ksira et al. TinyML model for fault classification of photovoltaic modules based on visible images
Angulo et al. Design and control of a passive solar tracking system using a sky imager
Pinceti et al. Using drone-supported thermal imaging for calculating the efficiency of a PV plant
KR20240082431A (en) Photovoltaic plant anomaly monitoring and analysis method, device and system through image processing
Wu et al. Durability evaluation of PV modules using image processing tools
Setiawan et al. Fast partial shading detection on PV modules for precise power loss ratio estimation using digital image processing
Lami et al. Automated quantification system for vision through polymer‐dispersed liquid crystal double‐glazed windows: Circuit implementation
Ota et al. Reduction of Soiling on Photovoltaic Modules by a Tracker System with Downward‐Facing Standby State
Hussein Photovoltaic Hotspot Detection with Image Classification Deep Learning Techniques