110   Artículos

 
en línea
Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai    
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Myung-Kyo Seo and Won-Young Yun    
The steel industry is typical process manufacturing, and the quality and cost of the products can be improved by efficient operation of equipment. This paper proposes an efficient diagnosis and monitoring method for the gearbox, which is a key piece of m... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qingyong Zhang, Changhuan Song and Yiqing Yuan    
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Saige Lv and Xiong Hu    
In order to solve the problems of subjectivity in the extraction of traditional degradation features and incomplete degradation information contained in a single sensor signal, a performance degradation assessment and abnormal health status detection met... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Mengting Zou, Jun Ma, Xin Xiong and Rong Li    
To investigate the vibration properties in healthy and fault conditions of planetary gearboxes, a phenomenological model is constructed to present the vibration spectrum structure. First, the effects of the base deflection of the gear fillet and the flex... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pinyang Zhang and Changzheng Chen    
In the operation and maintenance of planetary gearboxes, the growth of monitoring data is often faster than its analysis and classification. Careful data analysis is generally considered to require more expertise. Rendering the machine learning algorithm... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xinran Wang, Chenyong Wang, Hanlin Liu, Cunyou Zhang, Zhenqiang Fu, Lin Ding, Chenzhao Bai, Hongpeng Zhang and Yi Wei    
In deep learning-based fault diagnosis of the wind turbine gearbox, a commonly faced challenge is the domain shift caused by differing operational conditions. Traditional domain adaptation methods aim to learn transferable features from the source domain... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Marc Zarnekow, Thomas Grätsch and Frank Ihlenburg    
This paper proposes an efficient hybrid analytical-computational approach for the simulation of mechanical vibrations and sound radiation in wind turbine drive trains.The computational procedure encompasses the detailed modeling of vibrational sources an... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Wenlong Pan, Lei Wang, Xiangdong Ni, Wenqing Cai, Yongqiang Zhao, Huajun Chen, Yuangang Lin and Yuhan Zhou    
This study is based on the influence of power shift control on the smoothness of cotton picker shifts and proposes an optimization method for the smoothness of power shifts with different control strategies for the gearbox. Through the structural design ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Antonio Carlo Bertolino, Matteo Gaidano, Stefano Smorto, Paolo Giovanni Porro and Massimo Sorli    
Vibrations generated by the main rotor-gearbox assembly in a helicopter are the principal cause of damage to cockpit instruments and crew discomfort in terms of cabin noise. The principal path of vibration transmission to the fuselage is through the gear... ver más
Revista: Aerospace    Formato: Electrónico

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