Reliability and Maintenance Optimization

Reliability and maintenance optimization is concerned with understanding how engineered systems degrade over time and determining when and how to intervene to prevent failure. By combining probabilistic models of deterioration with real-time condition data, researchers aim to move beyond fixed maintenance schedules toward strategies that are both safer and more cost-effective. A central challenge is building accurate degradation models for complex systems with multiple failure modes or interdependent components, particularly when experimental data are scarce or expensive to collect. Active directions include developing prognostic models that can predict remaining useful life under uncertain operating conditions and designing risk-based maintenance frameworks that explicitly balance economic cost against safety consequences.

Works

54,223

Total citations

608,670

Keywords

Reliability EngineeringMaintenance OptimizationDegradation ModelingCondition-Based MaintenanceMulti-State SystemsPrognostic Models