Bearing Fault Diagnosis Based on Hilbert Marginal Spectrum and Supervised Locally Linear Embedding

DOI10.1007/978-981-10-2338-5_22zbMath1414.94957OpenAlexW2522180896MaRDI QIDQ5377633

Jianfeng Qu, Zhanqiang Xing, Yi Chai, Yanxia Li, Qiu Tang

Publication date: 27 May 2019

Published in: Proceedings of 2016 Chinese Intelligent Systems Conference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-2338-5_22

zbMATH Keywords

support vector machinebearing fault diagnosisHilbert marginal spectrumsupervised locally linear embedding

Mathematics Subject Classification ID

Special integral transforms (Legendre, Hilbert, etc.) (44A15) Fault detection; testing in circuits and networks (94C12)

Cites Work

• Unnamed Item
• Supervised optimal locality preserving projection
• Modern multidimensional scaling. Theory and applications.
• Hilbert–Huang Transform and Its Applications