Time Series Multi-Step Forecasting Based on Memory Network for the Prognostics and Health Management in Freight Train Braking System-Reference-Cited by-同舟云学术

Time Series Multi-Step Forecasting Based on Memory Network for the Prognostics and Health Management in Freight Train Braking System

Published:2023-08 Issue:8 Volume:24 Page:8149-8162
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Zhen¹^ORCID,Wang Cheng¹^ORCID,Yang Xinxin¹,Zhang Ning¹,Liu Feng¹^ORCID,Zhang Bin²

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. Shuohuang Railway Development Company Ltd., Hebei, Suning, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Shenhua Railway Equipment Company of China Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10202228/10104198.pdf?arnumber=10104198

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4. A novel time series forecasting model with deep learning

5. Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units

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