Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI

Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI

As core pieces of equipment in hydropower generation, the operational condition of critical components such as the rotor and thrust bearing is crucial for the stability of hydropower units. The essence of fault diagnosis for hydroelectric generating units is pattern recognition. To achieve high reco...

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Bibliographic Details
Main Authors: Tao Wu, Haipeng Gong, Zaiming Geng, Jian Deng, Fang Yuan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
hydroelectric generating unit
vibration signal
feature extraction
feature mode decomposition
thrust bearing horizontal adjustment
distance evaluation index
Online Access:https://www.mdpi.com/1996-1073/17/23/6134
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