Predictive Maintenance – Wind Turbines

Predictive Maintenance Wind Turbines Predictive Maintenance Wind Turbines

WIND TURBINES – DELIVER ACCURATE PREDICTING. LOWER OPERATIONAL COSTS

Many countries and enterprises are expanding their energy mix with renewables, such as wind-turbines, to address climate change. However, such renewable resources are often located in distant locations and may range from a small number of turbines to several hundred covering an extensive area.

Condition Based Monitoring Wind Turbine Condition Based Monitoring Wind Turbine

Condition Based Monitoring (CbM) and Predictive Maintenance (PdM) service of such wind turbines are a specific challenge for technology and economic operations of a wind farm.

wind turbine predictive maintenance wind turbine predictive maintenance

Short-term CbM and PdM technology by Odysight.ai® allows renewable power producers to visualize, analyze and predict potential malfunctions in wind-turbines, such as early flames detection, bearings grease starvation, spills and heavy cleaning costs.

EXAMPLES OF CURRENTLY DEPLOYED SCENARIOS AND USE CASES:

Deformation Monitoring

REAL-TIME MONITORING OF BEARING MALFUNCTIONS AND DEFORMATION

  • Tracks movement of monitored area in real-time
  • Trained AI-models calculate area size and number of threads
  • Platform automatically reengages in case out-of- sync events
  • Focus and lighting adjusted to suit relevant environment
Leakage detection

LIQUID LEAKAGE DETECTION

  • Measure inner piston length to ensure within spec/ threshold
  • Detect shock absorber leaks which may lead to heavier damage upon impact
  • Replace the need for visual inspection during pre/ post flight, including accurate measurements, alerts and predictions

DOWNLOADS

One Pager

DOWNLOAD
Industrial Applications One pager OdysightAI

Industrial Applications One Pager

DOWNLOAD
open popup