A Stochastic Deterioration Process Based Approach for Micro Switches Remaining Useful Life Estimation
Real-time prediction of remaining useful life (RUL) is one of the most essential works in prognostics and health management (PHM) of the micro-switches. In this paper, a linear degradation model based on an inverse Kalman filter to imitate the stochastic deterioration process is proposed. First, Bay...
Main Authors: | Bangcheng Zhang, Yubo Shao, Zhenchen Chang, Zhongbo Sun, Yuankun Sui |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/3/613 |
Similar Items
-
Degradation Pattern Identification and Remaining Useful Life Prediction for Mechanical Equipment Using SKF-EN
by: Shenglong Wang, et al.
Published: (2020-01-01) -
Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales
by: Hong Pei, et al.
Published: (2019-01-01) -
A Robust Hybrid Filtering Method for Accurate Battery Remaining Useful Life Prediction
by: Xifeng Li, et al.
Published: (2019-01-01) -
Parallel simulation based adaptive prediction for equipment remaining useful life
by: Chenglong Ge, et al.
Published: (2018-08-01) -
A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC
by: Deng, Z., et al.
Published: (2023)