Blade Analysis
Detects and evaluates wind turbine blade damage.
Page last modified
November 11 2024
Ilosta offers a comprehensive blade analysis service utilizing proprietary physics-based algorithms and aerodynamic modeling to evaluate wind turbine blade damage. Through photogrammetry techniques, Ilosta creates detailed 3D models of turbine blades from visual inspection data. These models enable identification and classification of defects including leading edge erosion, cracks, and other structural anomalies. Ilosta's physics-based model analyzes and predicts the volumetric profile of identified cracks based on principles of fracture mechanics. Historical weather data is integrated with computational fluid dynamics simulations to estimate blade load histories. This data feeds an aeroelastic model that calculates local stresses and deformations at damage locations. By combining visual inspection data with physics-based predictive modeling, Ilosta provides actionable insights into critical blade defects. Quantification of damage progression supports remaining useful life assessment and prevents unnecessary maintenance costs. Ilosta's blade analysis enables informed decisions regarding repair, retrofit or replacement to maximize energy production.
Pros & Limitations
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Accurately evaluates blade damages based on source
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Predicts volumetric crack profiles using physics-based model
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Analyzes leading edge erosion
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Estimates internal blade structure
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Calculates stresses and deformations at damage locations
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Identifies critical structural damages
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Provides clear blade condition status
Specification
| Title | Description |
|---|---|
| Core Tech | Simulation Software |
| Industry | Wind |
|
Damage Evaluation
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Uses physics-based algorithm to predict extent of damage below surface
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|
Leading Edge Analysis
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Conducts erosion analysis using weather data
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Internal Structure Analysis
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Estimates internal blade structure using measured properties
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Load History Analysis
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Combines historical data with aeroelastic modelling to calculate stresses
|
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Identification of Damage
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Identifies critical structural damages
|
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Overall Condition
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Provides clear status of blade condition
|
Exclusive content
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Ilosta is a company headquartered in Glasgow, Scotland that has developed an innovative AI software called Crack Map to improve the reliability and lifespan of engineering structures. Ilosta was founded by Dr. Saber Khayatzadeh, a chartered mechanical engineer, to provide advanced data analytics tools to the renewable energy industry. Ilosta's physics-based AI algorithm accurately predicts defects in structures through 3D modeling, damage detection/classification, mapping, and evaluation. This provides customers like inspectors, surveyors, and asset owners with a more efficient, effective, and cost-effective solution than traditional methods. Ilosta aims to have a positive sustainability impact by enhancing data analytics and extending the lifespan of structures in the renewable energy sector. Their team of PhD experts brings technical knowledge and passion to provide reliable solutions to industry challenges.
Country of Headquarters
United Kingdom
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