Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model

Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model

The fault prognostics of the photovoltaic (PV) power generation system is expected to be a significant challenge as more and more PV systems with increasingly large capacities continue to come into existence. The PV inverter is the core component of the PV system, and it is essential to develop appr...

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Bibliographic Details
Main Authors: Zhenyu He, Xiaochen Zhang, Chao Liu, Te Han
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
fault prognostics
photovoltaic inverter
Gaussian mixture model
Jensen–Shannon divergence
fast clustering algorithm
Online Access:https://www.mdpi.com/1996-1073/13/18/4901

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https://www.mdpi.com/1996-1073/13/18/4901

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