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 …
deteriorating with age and diagnostic covariates. Existing maintenance in the proportional …
Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations
The growing technological capability for real-time condition monitoring (CM) of industrial
equipment has spurred significant interest in methods for optimal maintenance planning …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
condition-based maintenance program. It depends closely on implemented inspection and …