Journal ArticleDOI
Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion
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This article is published in Journal of Vibration and Acoustics.The article was published on 2022-06-01. It has received 2 citations till now. The article focuses on the topics: Feature (computer vision) & Convolutional neural network.read more
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Proceedings ArticleDOI
Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning
TL;DR: In this article , an architecture based on autoencoders is used to automatically extract degradation-representative features from minimally preprocessed time series of vibration and temperature data, and different autoencoder architectures are implemented to compare different data fusion strategies.
Proceedings ArticleDOI
FEM Analysis of Time-Varying Meshing Stiffness of Wind Turbine Isolated Planetary Gear
TL;DR: In this article , a finite element method is utilized to determine the time-varying meshing stiffness (TVMS) of isolated sun-planet pair of a healthy planetary gear model.
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Condition monitoring and fault diagnosis of planetary gearboxes: A review
TL;DR: This paper aims to review and summarize publications on condition monitoring and fault diagnosis of planetary gearboxes and provide comprehensive references for researchers interested in this topic.
Journal ArticleDOI
Analytical Characterization of the Unique Properties of Planetary Gear Free Vibration
Jian Lin,Robert G. Parker +1 more
TL;DR: In this article, an analytical model of planetary gears was developed to investigate their natural frequencies and vibration modes, where the specia structure results from the cyclic symmetry of the planetary gears.
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