Photovoltaic Cell Panels Soiling Inspection Using Principal Component Thermal Image Processing

نویسندگان

چکیده

Intended for good productivity and perfect operation of the solar power grid a failure-free system is required. Therefore, thermal image processing with camera latest non-invasive (without manual contact) type fault identification technique which may give precision in all aspects. The soiling issue, major affecting factor import from several reasons such as dust on wind, bird mucks, etc. efficient production sufferers due to accumulated soil deposits reaching 1%–7% county, India, more than 25% middle-east countries country, Dubai, Kuwait, This research offers panel detection built imaging powers inspection method mitigates requirement physical large place. Hence, this method, panels can be verified by working without disturbing it will save time price recognition. India ranks 3rd worldwide usage use age Photovoltaic (PV) now supported about 8.6% Nation’s electricity need year 2020. In meantime, installed PV areas are aged 4–5 years old. Hence maintenance growing fast day day. As result, focuses finding hotspot exactly help Principal Components Thermal Analysis (PCTA) MATLAB Environment.

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ژورنال

عنوان ژورنال: Computer systems science and engineering

سال: 2023

ISSN: ['0267-6192']

DOI: https://doi.org/10.32604/csse.2023.028559