Real detection scenarios from across the fleet demonstrating how SWAPP transforms anomaly signals into avoided losses and planned interventions
Each case represents a validated predictive workflow from detection through Computerized Maintenance Management System (CMMS) resolution
Early detection of bearing degradation in CCGT through vibration pattern analysis
Continuous monitoring of cavitation signatures preventing long-term efficiency degradation across turbine fleet
Predictive model for gearbox degradation enabling proactive replacement scheduling and crane mobilization
Detection of progressive inverter efficiency loss and string-level underperformance before warranty expiration
Expanding the predictive coverage across high-value failure modes
Exhaust temperature spread analysis and turbine efficiency trending to detect Hot Gas Path (HGP) degradation. Enables optimized inspection scheduling aligned with planned outages.
Progressive condenser tube fouling detected through terminal temperature difference and back-pressure trending, triggering cleaning before heat rate impact.
Catastrophic failure prevention through continuous vibration monitoring, bearing temperature tracking, and operational mode transition analysis for pumped-storage units.
Progressive guide bearing degradation detection through vibration amplitude trending and temperature differential analysis, preventing shaft misalignment and seal damage.
Asymmetric pitch angle detection and hydraulic pressure anomaly monitoring to prevent blade damage and unplanned curtailment across wind turbine fleets.
Continuous power curve monitoring to detect blade degradation, yaw misalignment, and control system drift that silently reduce Annual Energy Production (AEP).
Automated identification of underperforming strings through cross-string comparison and irradiance-normalized yield analysis, catching issues before annual losses accumulate.
Soiling loss quantification through expected vs actual yield comparison and tracker misalignment detection via angle deviation monitoring across the solar fleet.
Explore the full business case with ROI projections, value levers, and payback analysis across the fleet