Fault Diagnosis of Hydropower Units Based on Gramian Angular Summation Field and Parallel CNN

Fault Diagnosis of Hydropower Units Based on Gramian Angular Summation Field and Parallel CNN

To enhance the operational efficiency and fault detection accuracy of hydroelectric units, this paper proposes a parallel convolutional neural network model that integrates the Gramian angular summation field (GASF) with an Improved coati optimization algorithm–parallel convolutional neural network...

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Bibliographic Details
Main Authors: Xiang Li, Jianbo Zhang, Boyi Xiao, Yun Zeng, Shunli Lv, Jing Qian, Zhaorui Du
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Energies
Subjects:
Gramian angular summation field (GASF)
parallel convolutional neural network (parallel CNN)
hydropower units
fault diagnosis
Online Access:https://www.mdpi.com/1996-1073/17/13/3084

Internet

https://www.mdpi.com/1996-1073/17/13/3084

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