A Novel Multimode Fault Classification Method Based on Deep Learning
Author:
Affiliation:
1. School of Computer and Information Engineering, Henan University, Kaifeng, China
2. School of Automation, Hangzhou Dianzi University, Hangzhou, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation
Link
http://downloads.hindawi.com/journals/jcse/2017/3583610.pdf
Reference31 articles.
1. Review on Fault Diagnosis Techniques for Closed-loop Systems
2. Differential feature based hierarchical PCA fault detection method for dynamic fault
3. Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
4. Least-Squares Fault Detection and Diagnosis for Networked Sensing Systems Using A Direct State Estimation Approach
5. Fault diagnosis and compensation for two-dimensional discrete time systems with sensor faults and time-varying delays
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