Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

This paper introduces a new intelligent fault diagnosis method based on stack pruning sparse denoising autoencoder and convolutional neural network (sPSDAE-CNN). This method processes the original input data by using a stack denoising autoencoder. Different from the traditional autoencoder, stack pr...

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Bibliographic Details
Main Authors: Pu Yang, Chenwan Wen, Huilin Geng, Peng Liu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Machines
Subjects:
intelligent fault diagnosis
stacked pruning sparse denoising autoencoder
convolutional neural network
anti-noise
Online Access:https://www.mdpi.com/2075-1702/9/12/360

Internet

https://www.mdpi.com/2075-1702/9/12/360

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