A Predictive Maintenance Strategy for a Single Device Based on Remaining Useful Life Prediction Information: A Case Study on Railway Gyroscope-Reference-Cited by-同舟云学术

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A Predictive Maintenance Strategy for a Single Device Based on Remaining Useful Life Prediction Information: A Case Study on Railway Gyroscope

Published:2024 Issue: Volume:73 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Zongyao¹^ORCID,Shangguan Wei²^ORCID,Peng Cong¹^ORCID,Meng Yueyue³^ORCID,Chai Linguo²^ORCID,Cai Baigen²^ORCID

Affiliation:

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

2. Research Center for Autonomous Intelligence and Unmanned Systems and the School of Automation and Intelligence, Beijing Jiaotong University, Beijing, China

3. Shanghai Institute of Tourism, Shanghai, China

Funder

Beijing Natural Science Foundation Fengtai Rail Transit Frontier Research Joint Fund

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10559857.pdf?arnumber=10559857

Reference46 articles.

1. An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning

2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

3. A weight-allocation-based ensemble remaining useful life prediction approach for a single device

4. Remaining Useful Life Prognostics for the Electrohydraulic Servo Actuator Using Hellinger Distance-Based Particle Filter

5. Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

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