Article

Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network

2024-03-11

Abstract excerpt

<title>Abstract</title> <p>Diagnosing hydro-turbine wear fault is crucial for the safe and stable operation of hydropower units. A hydro-turbine wear fault diagnosis method based on improved WT (wavelet threshold algorithm) preprocessing combined with IWSO (improved white shark optimizer) optimized CNN-LSTM (convolutional neural network-long-short term memory) is proposed. The improved WT algorithm is utilized fo...

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Literature Corpus work: 48ddfbb4-9859-56c5-b2e2-de1070480163
DOI: 10.21203/rs.3.rs-3975472/v1

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