Journal ArticleOpen Access
Image based surface damage detection of renewable energy installations using a unified deep learning approach
Author Affiliations
Green University of Bangladesh, University of Liberal Arts Bangladesh
Published InEnergy Reports
Year2021
Citations75
Abstract
Smart Grid technology as a platform can encompass several advanced technological features across the spectrum of the power system. Smart Grid may introduce an early warning system for structural damage on the surface of large-scale power utility facilities providing crucial information to maintain the safety of the plant. To achieve such a cost-effective structural health monitoring system, a holistic smart inspection implementation framework is required. Using recently available sophisticated inspection technologies, high-resolution images covering the structural condition of large infrastructure can be routinely acquired as a remote monitoring process. Automated analysis of these inspection images can significantly reduce the inspection cost, provide an effective detection mechanism, and shorten reporting time, as a result, reducing overall maintenance costs, and improving safety…
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Fields & Keywords
Physical SciencesEngineeringCivil and Structural EngineeringStructural Health Monitoring TechniquesNon-Destructive Testing TechniquesPhotovoltaic System Optimization TechniquesArtificial intelligenceReliability engineeringReal-time computingTelecommunicationsOperating systemGeometryStructural engineeringElectrical engineering