An adaptive reliability-based maintenance policy for mechanical systems under variable environments

C Duan, T Deng, L Song, M Wang, B Sheng - Reliability Engineering & …, 2023 - Elsevier
The performance of mechanical systems is greatly influenced by varying operational
environments such as load, temperature, and humidity, which can result in accelerated …

Degradation prediction for mechanical components based on transfer learning and a multistage statistical model

C Duan, K Guo, F Liu, H Pu, J Luo - Computers & Industrial Engineering, 2024 - Elsevier
Rolling bearings serve as vital elements in mechanical components; their degradation
significantly influences equipment reliability and safety. Previous studies primarily focus on …

[HTML][HTML] Joint optimization of preventive maintenance and spare parts ordering considering imperfect detection

Y He, Z Gao - Systems, 2023 - mdpi.com
The optimization of preventive maintenance and spare part ordering strategies for modern
production equipment is of utmost importance, given its substantial influence on the …

A lexicographic optimization approach for a bi-objective parallel-machine scheduling problem minimizing total quality loss and total tardiness

L Chen, W Yang, K Qiu, S Dauzère-Pérès - Computers & Operations …, 2023 - Elsevier
In wafer fabrication, production quality is a key performance index and is subject to machine
condition deterioration. This paper studies a parallel-machine scheduling problem that can …

Multivariable correlation feature network construction and health condition assessment for unlabeled single-sample data

D Xu, X **ao, J Zhang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The construction of effective health indicators is crucial for assessing system degradation,
enabling anomaly detection and health condition assessment, which contribute to reducing …

Bi-level corrected residual life-based maintenance for deteriorating systems under competing risks

C Duan, T Gong, L Yan, X Li - Reliability Engineering & System Safety, 2024 - Elsevier
The accurate prediction of residual life in deteriorating systems is a challenging task due to
uncertainties and idealized assumptions during data acquisition and model construction. To …

Remaining useful life prediction based on a PCA and similarity methods

C Duan, Y Shen, K Guo, B Sheng… - … Science and Technology, 2023 - iopscience.iop.org
Aircraft engine failures or damages not only incur substantial financial losses but also
present risks of injuries or even fatalities. Hence, it is of utmost importance to devise an …

Health prediction of partially observable failing systems under varying environments

C Duan, Y Jiang, H Pu, J Luo, F Liu, B Tang - ISA transactions, 2023 - Elsevier
The modern engineering systems often operate under varying environments and only partial
information can be observed at discrete monitoring epochs. For such systems, few works …

[HTML][HTML] Using system dynamics approach to explore the mode shift between automated vehicles, conventional vehicles, and public transport in melbourne, Australia

Y Chen, P Stasinopoulos, N Shiwakoti, SK Khan - Sensors, 2023 - mdpi.com
With the increasing use of automated vehicles (AVs) in the coming decades, government
authorities and private companies must leverage their potential disruption to benefit society …

Remaining Useful Life Prediction of IIoT Equipment Using Hidden Semi-Markov Model With Hyper-Erlang Sojourn Time

X Li, C Duan, J Cai, H Zuo, Z Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The prediction of the remaining useful life (RUL) of equipment is a pivotal function in
realizing industrial intelligence within the industrial Internet of Things (IIoT). It enables the …