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Inverse Problem Methodology for the Balancing of Rotating Machinery Running on Nonlinear Bearings Using Artificial Neural Networks

机译：使用人工神经网络在非线性轴承上运行旋转机械平衡的逆问题方法

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作者
Al-Ghazal, Ghaith Ghanim.;
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作者单位

The University of Manchester (United Kingdom).;

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授予单位 The University of Manchester (United Kingdom).;
学科
学位 Ph.D.
年度 2019
页码 275 p.
总页数 275
原文格式 PDF
正文语种 eng
中图分类 AAI27814643;
关键词
Aeroengine vibration; Squeeze-film damper; Recurrent neural network;

机译：航空发动机振动;挤压薄膜阻尼器;经常性神经网络;
入库时间 2022-08-17 12:02:52

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1. Diagnosis and Prognosis of Bearing Failure in Rotating Machinery Using Acoustic Emission and Artificial Neural Network [J] . Abd Kadir Mahamad, Takashi Hiyama, Mohd Imran Ghazali 電気学会論文誌 D:產業応用部門誌 . 2010,第4期

机译：基于声发射和人工神经网络的旋转机械轴承故障诊断与诊断
2. A novel method based on nonlinear auto-regression neural network and convolutional neural network for imbalanced fault diagnosis of rotating machinery [J] . Measurement . 2020,第期

机译：一种基于非线性自动回归神经网络和卷积神经网络的新型方法，用于旋转机械的不平衡故障诊断
3. Empirical identification of the inverse model of a squeeze-film damper bearing using neural networks and its application to a nonlinear inverse problem [J] . Cedillo Sergio G. Torres, Bonello Philip Journal of vibration and control: JVC . 2018,第2期

机译：用神经网络挤压膜阻尼器轴承逆模型的经验鉴定及其在非线性逆问题中的应用
4. COMPUTATIONAL STUDY OF THE NON-PARAMETRIC SQUEEZE FILM DAMPER BEARING INVERSE MODEL BASED ON ARTIFICIAL NEURAL NETWORKS APPLIED TO A ROTOR-CASING SYSTEM RUNNING ON UNSUPPORTED SFDS [C] . Sergio G.Torres Cedillo, Philip Bonello, Ghaith Ghanim Al-Ghazal, ASME Turbo Expo: Turbomachinery Technical Conference and Exposition . 2019

机译：基于人工神经网络的非参数挤压膜阻尼器轴承逆模型的计算研究
5. Solutions of inverse problems in elastic wave propagation with artificial neural networks [D] . Sribar, Rok. 1994

机译：用人工神经网络解决弹性波传播中的逆问题
6. On the Capability of Artificial Neural Networks to Compensate Nonlinearities in Wavelength Sensing [O] . Mohamed Lamine Hafiane, Zohir Dibi, Otto Manck 2009

机译：人工神经网络补偿波长感测非线性的能力
7. Computational Study of the Non-Parametric Squeeze Film Damper Bearing Inverse Model Based on Artificial Neural Networks Applied to a Rotor-Casing System Running on Unsupported SFDs [O] . Sergio G. Torres Cedillo, Ghaith Ghanim Al-Ghazal, Philip Bonello, 2019

机译：基于人工神经网络的非参数挤压膜阻尼器逆模型的计算研究应用于不支持的SFDS的转子套管系统

Inverse Problem Methodology for the Balancing of Rotating Machinery Running on Nonlinear Bearings Using Artificial Neural Networks

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