Structural Health Monitoring Solutions For Wind Turbine Lifecycle.pdf

Press_Release_Inalia.pdf
Preview of Structural Health Monitoring solutions for wind turbine lifecycle
🔗 Source: windeurope.org
📊 Size: 1.48 MB
👤 Author: ofitec3
⬇️ Downloads: 156

Summary

Structural Health Monitoring solutions utilize physical data measurement and digital twins to provide added value, offering services such as commissioning, validation, testing, failure diagnosis, fatigue analyses, and predictive maintenance. The process involves measurement strategy and technology selection, instrumentation and data acquisition, real-time operational data acquisition, and digital twin data interpretation and analysis. Machine learning algorithms are used to evolve monitoring into predictive maintenance tools. Specific solutions include SIME WIND for floating wind turbines, analyzing components like the hub-slow shaft bolted joint, tower, and mooring anchors. Various technologies are employed, including strain gauges, fiber optic sensors, accelerometers, and AI, with data integration and analysis performed through SCADA, in-house platforms, FEM analysis, and machine learning techniques.

Description

Structural Health Monitoring solutions utilize physical data measurement and digital twins to provide added value, offering services such as commissioning,...

Technical Information

  • File Format: PDF
  • File Size: 1.48 MB
  • Pages: 7
  • Language: EN
  • Author: ofitec3
  • Total Downloads: 156
  • Last Updated: 1 month ago

Document Overview

This PDF document about Structural Health Monitoring solutions for wind turbine lifecycle provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Structural Health Monitoring solutions for wind turbine lifecycle.

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