Efficient fault diagnosis approach for solar photovoltaic array using a convolutional neural network in combination of generative adversarial network under small dataset

Author:

Lu Xiaoyang,Lin Yaohai,Lin Peijie,He Xiangjian,Fang Gengfa,Cheng Shuying,Chen Zhicong,Wu Lijun

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. A comprehensive review of catastrophic faults in PV arrays: Types, detection, and mitigation techniques;Alam;IEEE J. Photovolt.,2015

2. Arjovsky M, Bottou L. Towards principled methods for training generative adversarial Networks. arXiv preprint 2017; arXiv:1701.04862.

3. Arjovsky M, Chintala S, Bottou L. Wasserstein gan. arXiv preprint 2017; arXiv:1701.07875.

4. Model-based degradation analysis of photovoltaic modules through series resistance estimation;Bastidas-Rodríguez;IEEE Trans. Ind. Electron.,2015

5. A theoretical analysis of feature pooling in visual recognition;Boureau,2010

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