Energy

Predictive Maintenance of Wind Turbines

Improve turbine performance and longevity and reduce unplanned downtime with AutoAI-led predictive maintenance using RapidCanvas.
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Maximizing Turbine Performance Is A Challenge

High Operations and Maintenance Costs
Traditional calendar-based maintenance schedules lead to unnecessary repairs and high costs.
Unplanned Downtime
Unexpected turbine failures cause prolonged outages and revenue losses.
Inefficient Maintenance Schedules
Reactive maintenance cannot optimize turbine availability.

Ingest Operational Data

Ingest Operational Data

Vibration, temperature and other sensor data from turbine components is aggregated
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Model Training

Model Training

Pre-configured machine learning model detect anomalies and failure patterns.
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Monitoring

Monitoring

The algorithms analyze incoming data and predict potential failures.
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Deployment

Deployment

Data-driven insights helps schedule maintenance before failures occur to avoid downtime.
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Benefits of AI-based Predictive Maintenance

Reduced Maintenance Costs
Only required repairs are performed, lowering costs by up to 20%.
Increased Turbine Availability
Downtime is minimized by fixing issues before failures.
Optimized Performance
Predictive maintenance maximizes turbine lifespan and energy production by up to 10%.
Extended Component Lifespan
Parts are replaced based on condition, not arbitrary schedules.

Key Industry Metrics

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Hear from Our  Customers

"Suzlon is on a journey to use big data and AI to reimagine the future of our business. I am impressed with RapidCanvas as a disruptive AI platform that has streamlined the journey from idea to prototype to production. Their platform is user-friendly, and their AI solutions for wind turbine use cases meet our business needs precisely."
Suunil Narula
Chief of Administration, Suzlon Group

Maximizing Turbine Performance Is A Challenge

High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules
High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules
High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules
High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules
High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules
High Operations and Maintenance Costs
Unplanned Downtime
Inefficient Maintenance Schedules

Why customers choose RapidCanvas for predictive maintenance of wind turbines

See Rapid Time-To-Value
Address unique business needs without starting from scratch; state your business problem and the AutoAI discovery process will generate a matching AI solution within hours.
Build Expert-Led AI
Leverage the industry knowledge of data science experts, as required, to validate against industry benchmarks and ensure optimal AI solution performance
Access Actionable Business Insights
Create visual, interactive data apps, dashboards and reports to showcase business KPIs and outcomes, and monitor business performance
Use An End-To-End AI Solution
Achieve an end-to-end AI solution with an out-of-the-box setup for all steps from data orchestration, data preparation, transformations, model building and testing, through to model deployment and data apps

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Related Resources

Assessing the ROI for Predictive Maintenance Solution on Wind Turbines
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Effective Maintenance Strategies for Wind Turbines
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What is AutoAI?
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