Fault detection of key parts of wind turbine based on BP neural network combination prediction model

Fault detection of key parts of wind turbine based on BP neural network combination prediction model

Abstract A BP neural network incorporated regression forecast technique based upon fragment swarm optimization (PSO) is proposed to design the state of crucial components of wind turbine so regarding realize mistake identification and detection. Firstly, specification recognition is carried out on t...

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Bibliographic Details
Main Authors: Jingjing Zhang, Liming Liu, Lei Wang, Wei Xi
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Energy Informatics
Subjects:
Wind turbine
SCADA system
Fault detection
BP neural network
PSO-BP combination prediction algorithm
Online Access:https://doi.org/10.1186/s42162-024-00436-x
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https://doi.org/10.1186/s42162-024-00436-x

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