Remaining Useful Life Prediction Method by Integrating Two-Phase Accelerated Degradation Data and Field Information
Author:
Affiliation:
1. College of Electrical Engineering, Zhejiang University, Hangzhou, China
2. School of Mechanical Engineering, Zhejiang University, Hangzhou, China
Funder
Key Research and Development Program of Zhejiang Province
National Natural Science Foundation of China
Ningbo Science and Technology Innovation 2025 Major Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/19/10367905/10479967.pdf?arnumber=10479967
Reference49 articles.
1. Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
2. Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes
3. Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study
4. A Review on Prognostics Methods for Engineering Systems
5. Stochastic Uncertain Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty
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