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Maintenance actions have become an imperative field of engineering investigation.
The results are used to schedule pipeline inspections and maintenance actions.
Essential maintenance actions are considered and optimization is performed by using genetic algorithms.
It considers a three-step methodology: detailed inspection, post-inspection maintenance actions, and proactive maintenance planning.
The proposed model includes the effect of deterioration, maintenance actions, bridge failures, and rehabilitations.
Imperfect maintenance actions such as spot repair and repainting can be done to extend the lifetime of the coating.
A suite of maintenance actions and their associated costs constitute the core of the "decision effect" process.
Maintenance actions are necessary for ensuring proper operations of control systems under component degradation.
These questions concern maintenance decision making and lead to the notion of opportune maintenance actions.
These models are also capable of considering multiple maintenance actions with heterogeneous effects.
A methodology to use multi-criteria to prioritize maintenance actions is suggested, namely environmental; extension; consequences; and safety requirements.
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