Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers

Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers

An essential piece of equipment for the protection and management of the electricity grid is a high voltage(HV) circuit breaker. The reliability and stability of the electricity grid are directly affected by the condition of operation of a high voltage circuit breaker. This study proposes a PCA-SSA-...

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Bibliographic Details
Main Authors: Kuan Zhang, Zehua Chen, Liyuan Yang, Yongchun Liang
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Energy Reports
Subjects:
High voltage circuit breaker
Vibration signal
Information entropy
Empirical mode decomposition
Learning vector quantized
Sparrow search algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722025057

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