Stochastic Blade Pitch Angle Analysis of Controllable Pitch Propeller Based on Deep Neural Networks

The accuracy of the blade pitch angle (BPA) motion in controllable pitch propellers (CPPs) is considered crucial for the efficacy and reliability of marine propulsion systems. The pitch adjustment process of CPPs is highly complex and influenced by various uncertain factors. A parametric kinematic m...

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Bibliografski detalji

Glavni autori:	Xuanqi Zhang, Wenbin Shao, Yongshou Liu, Xin Fan, Ruiyun Shi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-06-01
Serija:	Modelling
Teme:	controllable pitch propeller blade pitch angle kinematic simulation deep neural network uncertainty quantification
Online pristup:	https://www.mdpi.com/2673-3951/6/3/54
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