Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems

J Su, J Huang, S Adams, Q Chang, PA Beling - Expert systems with …, 2022 - Elsevier
Designing preventive maintenance (PM) policies that ensure smooth and efficient
production for large-scale manufacturing systems is non-trivial. Recent model-free …

Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

C Chuang, LU Ningyun, J Bin… - Journal of Systems …, 2020 - ieeexplore.ieee.org
Condition-based maintenance (CBM) is receiving increasing attention in various
engineering systems because of its effectiveness. This paper formulates a new CBM …

Real-time life-cycle assessment of high-voltage circuit breakers for maintenance using online condition monitoring data

P Dehghanian, Y Guan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Life-cycle assessment of high-voltage (HV) circuit breakers (CB) in transmission systems, if
efficiently done, can lead to an optimal decision on when, where, and how to perform …

Research on reliability evaluation method of DC circuit breaker based on Markov model

S Zhao, X Yan, B Wang, E Wang, L Ma - Electric Power Systems Research, 2019 - Elsevier
Natural commutation hybrid DC circuit breakers integrate the low loss of mechanical circuit
breakers and the fast switching speed of solid-state circuit breakers. Its overall reliability …

AoII-optimum sampling of CTMC information sources under sampling rate constraints

I Cosandal, N Akar, S Ulukus - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
We consider a sensor that samples an N-state continuous-time Markov chain (CTMC)-based
information source process, and transmits the observed state of the source, to a remote …

Reliability and maintainability improvement of substations with aging infrastructure

H Ge, S Asgarpoor - IEEE Transactions on Power Delivery, 2012 - ieeexplore.ieee.org
The increasing size, aging equipment, and complexity of power systems, coupled with
present day financial constraints, have made the use of probabilistic methods and reliability …

Reliability evaluation of equipment and substations with fuzzy Markov processes

H Ge, S Asgarpoor - IEEE Transactions on Power Systems, 2010 - ieeexplore.ieee.org
An algorithm for integrating uncertain parameters in Markov analysis is proposed. Fuzzy
Markov models for aging equipment and substations are developed in which the transition …

Multi-state unavailability analysis of safety system redundant components with aging effect under surveillance testing

F Mohammadhasani, A Pirouzmand - Progress in Nuclear Energy, 2020 - Elsevier
Over the recent decades, there has been a growing interest in nuclear power plants to
develop maintenance activities in the form of risk-based models. Maintenance planning …

Adaptive maintenance policies for aging devices using a Markov decision process

SK Abeygunawardane… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In competitive environments, most equipment are operated closer to or at their limits and as
a result, equipment's maintenance schedules may be affected by system conditions. In this …

Maintenance policy selection: a review towards building proper selection model

DS Hong, S Kamaruddin… - International Journal of …, 2012 - inderscienceonline.com
In the past few decades, various maintenance policies with different operation principles,
such as preventive or predictive maintenance were developed due to importance of …