A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery

To improve the fault diagnosis performance for rotating machinery, an efficient, noise-resistant end-to-end deep learning (DL) algorithm is proposed based on the advantages of the wavelet packet transform in vibration signal processing (the capability to extract multiscale information and more spect...

Full description

Bibliographic Details
Main Authors: Shangjun Ma, Wei Cai, Wenkai Liu, Zhaowei Shang, Geng Liu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
deep learning
wavelet packet transform
convolutional neural networks
fault diagnosis
rotating machinery
Online Access:https://www.mdpi.com/1424-8220/19/10/2381

Internet

https://www.mdpi.com/1424-8220/19/10/2381

Similar Items