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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主要な著者:	Xuanqi Zhang, Wenbin Shao, Yongshou Liu, Xin Fan, Ruiyun Shi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-06-01
シリーズ:	Modelling
主題:	controllable pitch propeller blade pitch angle kinematic simulation deep neural network uncertainty quantification
オンライン･アクセス:	https://www.mdpi.com/2673-3951/6/3/54
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