Kalman Filter Assisted Deep Feature Learning for RUL Prediction of Hydraulic Gear Pump
Author:
Affiliation:
1. Kumoh National Institute of Technology, Gumi, South Korea
Funder
Institute for Information and Communications Technology Promotion
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9785401/09758819.pdf?arnumber=9758819
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4. An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump
5. Engineering‐driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process
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