A Fault Diagnosis Method for PV Arrays Based on New Feature Extraction and Improved the Fuzzy C-Mean Clustering

Photovoltaic (PV) array fault diagnosis is vital for the safe and stable operation of PV systems. Up to now, there are many methods to diagnose and classify PV array faults successfully. However, the difficulty of fault diagnosis is increased because the PV arrays have nonlinear output characteristi...

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Bibliographic Details
Published in:	IEEE journal of photovoltaics Vol. 12; no. 3; pp. 833 - 843
Main Authors:	Xu, Liuchao, Pan, Zhiheng, Liang, Chuandong, Lu, Min
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Arrays Circuit faults Clustering Clustering algorithms Degradation Fault detection Fault diagnosis Faults Feature extraction fuzzy C-mean clustering (FCM) algorithm ICMMD Integrated circuit modeling Parameters photovoltaic (PV) array Photovoltaic cells Resistance
ISSN:	2156-3381, 2156-3403
Online Access:	Get full text
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