Online Fault Diagnosis for Photovoltaic Arrays Based on Fisher Discrimination Dictionary Learning for Sparse Representation

Online Fault Diagnosis for Photovoltaic Arrays Based on Fisher Discrimination Dictionary Learning for Sparse Representation

The nonlinear output characteristics of PV arrays and maximum power point tracking (MPPT) techniques bring more difficulties to fault diagnosis. The fault diagnosis model based on electrical transient time-domain analysis is an effective method for solving the above problems. However, existing studi...

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Autores principales: Peng Xi, Peijie Lin, Yaohai Lin, Haifang Zhou, Shuying Cheng, Zhicong Chen, Lijun Wu
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Photovoltaic array
fault diagnosis
machine learning
sparse representation
fisher discrimination criterion
fisher discrimination dictionary learning
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/e6cd972e1c7643a698369b6563f58fdb
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https://doaj.org/article/e6cd972e1c7643a698369b6563f58fdb

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