Bladecare Platform

Know the Life of Every Blade — Before It Fails.

Bladecare turns operating data, physics models and AI into quantified remaining life and early damage alerts for turbine blades and vanes. Move from run-to-limit to predictive maintenance.

Platform Core

One Platform. Three Insights.

Physics-based & data-driven hybrid model delivering actionable intelligence for turbine life management.

GT-PAL Life Monitoring System

Physics-Based Data-Driven Hybrid Model

Combining first-principles physics models with machine learning to deliver accurate, interpretable life predictions under real operating conditions.

Remaining Useful Life

Quantified RUL estimates for turbine blades and vanes, enabling planned maintenance instead of reactive replacement.

Early Damage Prediction

Detect incipient damage patterns before they escalate — from micro-cracks to coating spallation — with actionable lead time.

Capabilities

Core Functions

Eight integrated monitoring and analysis capabilities covering the full spectrum of turbine blade life management.

01

Real-Time Monitoring

Continuous tracking of operating parameters and environmental conditions across the turbine fleet.

02

Subsystem Health

Holistic health assessment of each turbine subsystem, identifying degradation trends early.

03

Damage Accumulation

Track cumulative damage over each component's service life using physics-based damage models.

04

Life Consumption History

Complete historical record of life consumption for every tracked component, fully auditable.

Life Monitoring System
EH-ES Life Consumption Chart
05

Critical Locations

Pinpoint high-stress zones and thermal gradients where damage initiates and propagates.

06

Anomaly History

Log and correlate past anomalies with operating events to build predictive failure patterns.

07

Circumferential Uneven Damage Monitoring

Detect and quantify circumferential damage variation around the blade ring for targeted intervention.

08

Creep and Fatigue Damage Breakdowns

Detailed decomposition of creep (partial load, full load, overload) and fatigue (normal start-stop, fast start, load fluctuation, trip) damage mechanisms.

AI-Powered Intelligence

AI-Enhanced Life Management for Multiple GT Units

Bladecare integrates heterogeneous sensor data, physics models, and embedded AI to deliver unified life assessment across an entire gas turbine fleet — from anomaly detection and performance trend analysis to dynamic RUL estimation and maintenance planning.

AI-enhanced life management overview

Broad Compatibility

Support Multiple Engine Models

Bladecare covers both aero engines and industrial gas turbines, with calibrated models ready for deployment and a growing pipeline of upcoming support.

Supported engine models