Research on Deep Learning Method and Optimization of Vibration Characteristics of Rotating Equipment

Research on Deep Learning Method and Optimization of Vibration Characteristics of Rotating Equipment

CNN extracts the signal characteristics layer by layer through the local perception of convolution kernel, but the rotation speed and sampling frequency of the vibration signal of rotating equipment are not the same. Extracting different signal features with a fixed convolution kernel will affect th...

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Bibliographic Details
Main Authors: Xiaoxun Zhu, Baoping Liu, Zhentao Li, Jiawei Lin, Xiaoxia Gao
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
deep learning
convolutional neural network
vibration
feature learning
condition recognition
Online Access:https://www.mdpi.com/1424-8220/22/10/3693

Internet

https://www.mdpi.com/1424-8220/22/10/3693

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