A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays

A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays

Fault diagnosis in photovoltaic (PV) arrays is essential in enhancing power output as well as the useful life span of a PV system. Severe faults such as Partial Shading (PS) and high impedance faults, low location mismatch, and the presence of Maximum Power Point Tracking (MPPT) make fault detection...

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Bibliographic Details
Main Authors: Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Photovoltaic array
maximum power point tracking
fault classification
convolutional neural network
scalograms
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9018018/
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