A Novel Fault Diagnosis Method Under Dynamic Working Conditions Based on a CNN With an Adaptive Learning Rate
Author:
Affiliation:
1. College of Electronics and Information Engineering, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
China National Scientific Seafloor Observatory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09780130.pdf?arnumber=9780130
Reference37 articles.
1. A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
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4. Optimal band selection for improvement of hyperspectral palmprint recognition system by using SVM and KNN classifier;khandizod;Proc Int Conf Recent Trends Image Process Pattern Recognit,2018
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