Two-stage prediction technique for rolling bearings based on adaptive prediction model

L Yang, Z Wang, Y Li, L Dong, W Du, J Wang… - … Systems and Signal …, 2024 - Elsevier
Due to the discrepancy of the components themselves, operating conditions and loads, the
bearings show different degradation processes, and a single fixed model cannot describe …

Joint optimization of maintenance and spare parts inventory strategies for emergency engineering equipment considering demand priorities

X Wang, J Wang, R Ning, X Chen - Mathematics, 2023 - mdpi.com
To respond to emergencies in a timely manner, emergency engineering equipment has
been an important tool to implement emergency strategies. However, random failures of the …

Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments

Z Fode, HKT Ng, L Shen - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
The evaluation of long-lifetime and high-reliability products has attracted much attention.
Stochastic degradation modeling is one of the most popular methods. The classical …

An optimal condition-based maintenance policy for nonlinear stochastic degrading systems

Z Zhang, H Li, T Li, J Zhang, X Si - Reliability Engineering & System Safety, 2024 - Elsevier
Prognostics and system health management (PHM) has attracted increasing attention from
both scholars and engineers with interests in improving the reliability, availability, and …

Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts

J Zheng, J Ren, H Pei, J Zhang, Z Zhang - Reliability Engineering & System …, 2024 - Elsevier
Spare parts redundancy is an effective way to improve system reliability and prolong system
lifetime. Generally, preventive maintenance and inventory management of a standby system …

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

GZ Fu, X Zhang, W Li, J Guo - Processes, 2024 - mdpi.com
In the field of industrial equipment reliability assessment, dependency on either degradation
or failure time data is common. However, practical applications often reveal that single-type …

Condition-based maintenance plan for multi-state systems using reinforcement learning

S Gan, N Yousefi, DW Coit - International Journal of …, 2024 - inderscienceonline.com
In this paper, a dynamic condition-based maintenance model is presented for a degrading
system using a reinforcement learning approach. The system utilises a critical machine with …

A lifetime prediction approach for parallel standby systems with stochastically degrading spare parts

G Li, J Zheng, D Chen, Z Zhang - 2024 39th Youth Academic …, 2024 - ieeexplore.ieee.org
As the key part of prognostics and health management (PHM), lifetime prediction has been
recognized as an effective technology to guarantee reliable, safe and economic operation …