Cavitation State Recognition Method of Hydraulic Turbine Based on Energy-Entropy Features and Improved Stacked Denoising Auto Encoder

ObjectivesAiming at the problem that the acoustic emission (AE) signal induced by the cavitation of a hydraulic turbine is disturbed by background noise and the fault is difficult to identify, a state recognition method based on energy-entropy features and Harris hawks optimization (HHO) algorithm c...

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Bibliografiset tiedot

Päätekijät:	LIU Zhen, LIU Zhong, ZOU Shuyun, ZHOU Zehua, QIAO Shuaicheng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Editorial Department of Power Generation Technology 2026-02-01
Sarja:	发电技术
Aiheet:	hydropower hydraulic turbine cavitation state recognition harris hawks optimization (hho) algorithm stacked denoising auto encoder (sdae) entropy
Linkit:	https://www.pgtjournal.com/article/2026/2096-4528/2096-4528-2026-47-1-176.shtml
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