Class metric regularized deep belief network with sparse representation for fault diagnosis
Author:
Affiliation:
1. Key Laboratory of Information and Structure Efficiency in Extreme Environment, The Ministry of Education of China, and School of Aerospace Science and Technology Xidian University Xian China
Publisher
Hindawi Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22831
Reference46 articles.
1. A review on data-driven fault severity assessment in rolling bearings
2. Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery
3. Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network
4. Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine
5. Fault identification for process monitoring using kernel principal component analysis
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