SWAPP is the operational digital twin that closes the loop from anomaly detection to Dynamics 365 execution across 50+ plants, 4 technologies, and ~4 GW of capacity.
Power fleets face systemic reliability challenges that cost millions annually
Unplanned shutdowns cost 2-10M per event for Combined Cycle Gas Turbine (CCGT) units, with no early warning system in place.
Root Cause Analysis (RCA) takes days or weeks, relying on tribal knowledge and scattered spreadsheets.
Insights don't flow into maintenance workflows. Detection and execution live in separate silos.
Technical findings lack business impact metrics, making it impossible to prioritize by value.
SWAPP closes the gap between detection and execution with a continuous Machine Learning (ML) feedback loop
Quantifiable financial impact across every dimension of fleet operations
Condition-based maintenance replaces time-based routines, cutting unnecessary interventions
Extend component lifecycles through condition monitoring and optimized replacement timing
Capacity factor improvement through avoided outages and faster return-to-service
Lower EBITDA (Earnings Before Interest, Taxes, Depreciation & Amortization) volatility, improved DSCR (Debt Service Coverage Ratio), and reduced insurance exposure
End-to-end fleet reliability from data access to automated reporting
Platform foundation with authentication, asset management, and extension framework. Common to all modules.
Interactive discovery and navigation of data assets with tree view and smart search.
AvailableChart and visually analyze sensor streams and signals with annotations.
Guided statistical analysis with standard analytics and KPI dashboards.
Online asset performance tracking with notifications, events, and alarm management.
Fast pattern detection and signal comparison for ML-driven insights.
Performance tracking, loss accounting, and business impact dashboards.
Purpose-built for the failure modes that matter in each generation technology
CCGT & Steam: bearing vibration, hot gas path degradation, heat rate drift
Cavitation, runner erosion, guide bearing wear, wicket gate seal degradation
Gearbox failure, main bearing degradation, pitch system faults, power curve deviation
Inverter degradation, string underperformance, soiling losses, clipping analysis
SWAPP sits between the historian and Dynamics 365 in a fully integrated enterprise stack
Business & Financial Dashboards
Execution & Cost Tracking
Semantic & Integration Layer
Predictive & Reliability Intelligence
Operational Technology (OT) Data Collection
Equivalent Availability Factor target across fleet
Forced Outage Rate reduction through predictive detection
Mean Time Between Failures improvement through condition monitoring
Avoided outage costs vs. platform investment