Advances in intelligent computing for diagnostics, prognostics, and system health management-Reference-Cited by-同舟云学术

Advances in intelligent computing for diagnostics, prognostics, and system health management

Published:2018-06-22 Issue:6 Volume:34 Page:3397-3401
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Li Chuan¹,de Oliveira José Valente²

Affiliation:

1. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and BusinessUniversity, Chongqing, China

2. CEOT, Universidade do Algarve, Faro, Portugal

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference41 articles.

1. Image featureextraction based on HOG and its application to fault diagnosis forrotating machinery;Chen;Journal of Intelligent & Fuzzy Systems(JIFS),2018

2. Fault diagnosis methodbased on a new manifold learning framework;Su;Journal ofIntelligent & Fuzzy Systems (JIFS),2018

3. Tsui, Making EEMD more effective inextracting bearing fault features for intelligent bearing faultdiagnosis by using blind fault component separation;Wang;Journal of Intelligent & Fuzzy Systems (JIFS),2018

4. Fault diagnosis method of rotating machinerybased on stacked denoising autoencoder;Chen;Journal of Intelligent& Fuzzy Systems (JIFS),2018

5. M.Barragán, R. Guamán and R.-V. Sánchez, Featureengineering based on ANOVA and cluster validity assessment for faultdiagnosis in bearings;Peña;Journal of Intelligent & Fuzzy Systems(JIFS),2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault diagnosis for rolling bearing based on parameter transfer Bayesian network;Quality and Reliability Engineering International;2022-09-21

2. A New Intelligent Weak Fault Recognition Framework for Rotating Machinery;The International Journal of Acoustics and Vibration;2020-09-30