Compound Fault Diagnosis of Rolling Bearings Based on Fastica and Granger Causality Analysis-Reference-Cited by-同舟云学术

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Compound Fault Diagnosis of Rolling Bearings Based on Fastica and Granger Causality Analysis

Published:2023-10-12 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)
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Author:

Yu Chongchong¹,Li Mengxiong¹,Qin Yong²,Gao Keke¹

Affiliation:

1. College of artificial intelligence, Beijing Technology and Business University,Beijing,China,100048

2. Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100084

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482660.pdf?arnumber=10482660

Reference18 articles.

1. Intelligent Diagnostics for Bearing Faults Based on Integrated Interaction of Nonlinear Features

2. APPLICATION OF THE ENVELOPE AND WAVELET TRANSFORM ANALYSES FOR THE DIAGNOSIS OF INCIPIENT FAULTS IN BALL BEARINGS

3. A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network

4. Detection and diagnosis for multiple faults in VAV systems

5. Multiple Fault Diagnosis Method in Multistation Assembly Processes Using Orthogonal Diagonalization Analysis

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1. Research on the Nonlinear Algorithm of Real-Time Extraction of ECG Based on Multifractal Theories;2024 9th International Conference on Electronic Technology and Information Science (ICETIS);2024-05-17

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