Photovoltaic energy storage system inspection method

Can imaging technologies be used to analyze faults in photovoltaic (PV) modules?

This paper presents a review of imaging technologies and methods for analysis and characterization of faults in photovoltaic (PV) modules. The paper provides a brief overview of PV system (PVS) reliability studies and monitoring approaches where fault related PVS power loss is evaluated.

Can a thermographic inspection improve PV maintenance decisions?

Starting from well-known mathematical models of PVMs, Pinceti et al. propose an innovative approach to correlate the results of a thermographic inspection with the power losses and the consequent income reduction, as a valid tool for supporting decisions about the maintenance actions on PV plants .

How can imaging techniques be used to analyze PV modules?

Imaging techniques have been employed in some other applications to facilitate the analysis of PV modules. An example is the detection of blurred images that was addressed by Tribak and Zaz [ 176] with image processing techniques in order to filter frames of videos before employing mosaicking techniques.

Can PV systems be detected in aerial imagery?

Although not always related to aerial inspections, the detection of PV systems in aerial imagery (UAV or satellite imagery) has been proposed by many authors and even used for path planning before the aIRT flight [ 56, 57 ]. Table 2 presents a summary of methods used in the literature for detecting PV systems in aerial imagery.

Can automated Airt procedures be automated for inspecting PV power plants?

This review has shown that different automatization algorithms, including DIP, DL and classification techniques, have been employed for automating different tasks of the aIRT procedure for inspecting PV power plants.

Can aerial infrared thermography be used for failure detection in photovoltaic systems?

Authors to whom correspondence should be addressed. In recent years, aerial infrared thermography (aIRT), as a cost-efficient inspection method, has been demonstrated to be a reliable technique for failure detection in photovoltaic (PV) systems.