Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales

Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales

As the fundamental and prerequisite work of remaining useful life (RUL) prediction, degradation modeling directly affects the accuracy of RUL prediction. Existing degradation models are all developed under a single time scale, and less research has been carried out to consider the impact of multiple...

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Bibliographic Details
Main Authors: Hong Pei, Changhua Hu, Xiaosheng Si, Jianfei Zheng, Qi Zhang, Zhengxin Zhang, Zhenan Pang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bivariate time scales
diffusion process
nonlinear degradation
Kalman filtering
remaining useful life (RUL) prediction
Online Access:https://ieeexplore.ieee.org/document/8892551/

Internet

https://ieeexplore.ieee.org/document/8892551/

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