BAIMS
(Blade Artificial Intelligence Monitoring System)
Presenting Introducing our cutting-edge Blade Artificial Intelligence Monitoring System (BAIMS), an AI-based solution designed to revolutionize wind turbine blade monitoring. BAIMS provides real-time detections remaining life expectation and identifies cross sections with fatigue problems, offering data directly to your control room.
Our SaaS-based condition monitoring system ensures that critical information is sent directly to your control room, enabling you to identify failures and estimate remaining blade lifetime in real time.
The solution allows:
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asset managers (O&M) to condition monitor each wind turbine blade to anticipate catastrophic failures, identify abnormal behaviour, cross section failure identification and forecast the remaining useful life,
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blade designers, to validate their designs, and,
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blade manufacturers (OEM), to strengthen their QA/QC system and obtain actual behaviour data.
Sensor:
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Installed on the inside surface of the blade, near the flange.
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Sensor mass 25 g.
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8s storage, signal preprocessing and feature extraction.
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Autonomy up to 1 year.
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Wireless connection.
AI engine:
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More than 5 million simulations carried out with more than 4,000 hours of computing, to train a multi-layer neural network.
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Accuracy higher than 94% forecasting the remaining life and cross section fatigue failure of the blade.
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The AI engine has the flexibility to operate either on our servers or on site.
Benefits of SOCOWIND BAIMS
Identify unusual blade behaviors during operation
Forecast reliability and expected lifetime
Identifies cross sections with fatigue problems
Improve maintenance planning and scheduling
Reduce maintenance costs and downtime