Digital Transformation
Failure Forecast
Proactively identify potential component failures using AI-driven predictive analytics, maximising uptime and minimising costly disruptions.
WHAT WE DO
Beyond Reactive Maintenance
The Power of Predictive Insight.
Conventional upkeep responds, to breakdowns. GreenTech’s Failure Forecast platform enables you to foresee these issues. By examining real-time operational data flows using sophisticated machine learning techniques we estimate the timing and location of potential component failures allowing for proactive actions and enhanced maintenance plans.
The Process Explained
Real-time Data Ingestion
Continuously collects data from SCADA, CMS, and other turbine sensors.
AI-Powered Analytics
Machine learning algorithms analyse data to detect signs of deterioration.
Accurate Failure Prediction
Predicts the remaining lifespan and likelihood of failure, for parts.
Key Benefits of Failure Forecast
Optimise Operations, Maximise Profitability.
Deploying a failure prediction system directly results in concrete operational benefits. It greatly minimises outages enhances spare parts stock management and prolongs equipment lifespan. Our solution delivers the insights, for more efficient and profitable wind farm operations.
Minimised Unplanned Downtime
Optimised Maintenance Scheduling
Reduced OpEx & CapEx
Covered Components
Driving Impact Through Digital Transformation
Drive Train Components
Gearboxes, generators, and main bearings.
Rotor & Blades
Pitch systems, blade health, and aerodynamic integrity.
Electrical Systems
Converters, transformers and modules, for control cabinets.