A hybrid repair-replacement policy in the proportional hazards model

R Zheng, J Wang, Y Zhang - European Journal of Operational Research, 2023 - Elsevier
Cox's proportional hazards model is widely used to describe the hazard rate of a system
deteriorating with age and diagnostic covariates. Existing maintenance in the proportional …

Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations

A Deep, S Zhou, D Veeramani, Y Chen - European Journal of Operational …, 2023 - Elsevier
The growing technological capability for real-time condition monitoring (CM) of industrial
equipment has spurred significant interest in methods for optimal maintenance planning …

[HTML][HTML] Predicting the health status of a pulp press based on deep neural networks and hidden markov models

A Martins, B Mateus, I Fonseca, JT Farinha… - Energies, 2023 - mdpi.com
The maintenance paradigm has evolved over the last few years and companies that want to
remain competitive in the market need to provide condition-based maintenance (CBM). The …

Optimal replacement in a proportional hazards model with cumulative and dependent risks

H Zhou, Y Li - Computers & Industrial Engineering, 2023 - Elsevier
This paper deals with a new maintenance problem with two competing dependent risks:
minor failures and major failures. The cumulative number of minor failures is incorporated …

A predictive multi-objective condition-based maintenance (CBM) policy considering ecological factors

R Cai, J Yang, X Xu, A Jiang - Journal of Quality in Maintenance …, 2023 - emerald.com
Purpose The purpose of this paper is to propose an improved multi-objective optimization
model for the condition-based maintenance (CBM) of single-component systems which …

A stochastic dynamic programming for maintenance planning of an emergency helicopter

M Karimi-Nasab, K Sabri-Laghaie - International Journal of …, 2023 - Taylor & Francis
Emergency/rescue helicopters are an essential part of the healthcare systems. Every
helicopter should be kept in its best possible operational mode to save the life of the people …

Leveraging Heterogeneity in Time-to-Event Predictions

C Nagpal - 2023 - search.proquest.com
Abstract Time-to-Event Regression, often referred to as Survival Analysis or Censored
Regression involves learning of statistical estimators of the survival distribution of an …

Maintenance simulation of a chemical plant in Cameroon

SN Dibe - 2023 - acikerisim.isikun.edu.tr
Özet In the field of manufacturing, remarkable strides have been made in the development of
predictive maintenance strategies. The research has incorporated cutting-edge …

Determining the optimal policy in condition-based maintenance for electrical panels

S Nasersarraf, S Asadzadeh, Y Samimi - Iranian Electric Industry Journal of …, 2023 - ieijqp.ir
Companies in the electrical industry are constantly looking for ways to reduce costs while
improving and maintaining the reliability of equipment in the maintenance category. This …

[PDF][PDF] Joint optimization of monitoring quality and replacement decisions in condition-based maintenance

PKN Thi, P Do Van, KT Huynh, C Bérenguer, A Grall - academia.edu
The quality of condition monitoring is an important factor affecting the effectiveness of a
condition-based maintenance program. It depends closely on implemented inspection and …