Centralized Maintenance Time Prediction Algorithm for Freight Train Wheels Based on Remaining Useful Life Prediction
Many freight trains for special lines have in common the characteristics of a fixed group. Centralized Condition-Based Maintenance (CCBM) of key components, on the same freight train, can reduce maintenance costs and enhance transportation efficiency. To this end, an optimization algorithm based on...
Main Authors: | Hongmei Shi, Jinsong Yang, Jin Si |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/9256312 |
Similar Items
-
Data Science for Remaining Useful Life Prediction and Predictive Maintenance of Electric Motor
by: Ting-SyunHuang, et al.
Published: (2018) -
Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors
by: Qi Li, et al.
Published: (2019-01-01) -
On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance
by: Jordi-Roger Riba, et al.
Published: (2021-05-01) -
Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales
by: Hong Pei, et al.
Published: (2019-01-01) -
REMAINING LIFE TIME PREDICTION OF BEARINGS USING K-STAR ALGORITHM – A STATISTICAL APPROACH
by: R. SATISHKUMAR, et al.
Published: (2017-01-01)