Neural Network-Based Classification of String-Level IV Curves From Physically-Induced Failures of Photovoltaic Modules

Neural Network-Based Classification of String-Level IV Curves From Physically-Induced Failures of Photovoltaic Modules

Accurate diagnosis of failures is critical for meeting photovoltaic (PV) performance objectives and avoiding safety concerns. This analysis focuses on the classification of field-collected string-level current-voltage (IV) curves representing baseline, partial soiling, and cracked failure modes. Spe...

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Bibliographic Details
Main Authors: Michael W. Hopwood, Thushara Gunda, Hubert Seigneur, Joseph Walters
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Photovoltaic systems
classification algorithms
failure analysis
neural networks
soiling
cell cracking
Online Access:https://ieeexplore.ieee.org/document/9186596/

Internet

https://ieeexplore.ieee.org/document/9186596/

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