Fault Diagnosis for RPMs Based on Novel Weighted Multi-Scale Fractional Permutation Entropy Improved by Multi-Scale Algorithm and PSO-Reference-Cited by-同舟云学术

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Fault Diagnosis for RPMs Based on Novel Weighted Multi-Scale Fractional Permutation Entropy Improved by Multi-Scale Algorithm and PSO

Published:2024-08 Issue:8 Volume:73 Page:11072-11081
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Sun Yongkui¹^ORCID,Cao Yuan¹^ORCID,Li Peng²^ORCID,Su Shuai³^ORCID

Affiliation:

1. National Engineering Research Center of Rail Transportation Operation Control System, School of Automation and Intelligence, Beijing Jiaotong University, Beijing, China

2. School of Automation and Intelligence, Beijing Jiaotong University, Beijing, China

3. Frontiers Science Center for Smart High-speed Railway System, Beijing Jiaotong University, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10460075.pdf?arnumber=10460075

Reference67 articles.

1. A DNN-Based Channel Model for Network Planning in Train Control Systems

2. Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach

3. Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

4. A Nonlinear Safety Equilibrium Spacing Based Model Predictive Control for Virtually Coupled Train Set over Gradient Terrains

5. Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system

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