Remaining useful life based maintenance decision making for deteriorating systems with both perfect and imperfect maintenance actions

2013 ◽  
Author(s):  
Phuc Do Van ◽  
Alexandre Voisin ◽  
Eric Levrat ◽  
Benoit Iung
Keyword(s):  
Decision Making ◽  
Remaining Useful Life ◽  
Imperfect Maintenance ◽  
Useful Life ◽  
Maintenance Decision ◽  
Deteriorating Systems

Remaining useful life (RUL) based maintenance decision making for deteriorating systems

2012 ◽  
Vol 45 (31) ◽  
pp. 66-72
Author(s):  
Phuc DO VAN ◽  
Eric LEVRAT ◽  
Alexandre VOISIN ◽  
Benoit IUNG
Keyword(s):  
Decision Making ◽  
Remaining Useful Life ◽  
Useful Life ◽  
Maintenance Decision ◽  
Deteriorating Systems

scholarly journals Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven

2021 ◽  
Vol 13 (15) ◽  
pp. 8548
Author(s):  
Xiangang Cao ◽  
Pengfei Li ◽  
Song Ming
Keyword(s):  
Life Prediction ◽  
Decision Model ◽  
Remaining Useful Life ◽  
Data Driven ◽  
Imperfect Maintenance ◽  
Cost Rate ◽  
Maintenance Decisions ◽  
Useful Life ◽  
Maintenance Decision ◽  
The Impact

Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions. Therefore, this paper proposed a remaining useful life prediction-based maintenance decision model under data-driven to extend equipment life, promoting sustainable development. The stochastic degradation model was established based on the nonlinear Wiener process. A combination of real-time update and offline estimation estimated the degradation model’s parameters and deduced the equipment’s RUL distribution. Based on the RUL prediction results, we established a maintenance decision model with the lowest long-term cost rate as the goal. Case analysis shows that the model proposed in this paper can improve the accuracy of RUL prediction and realize equipment sustainability.

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