TurbinePhD? Condition Monitoring System
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A New Standard for Condition Monitoring Increase wind turbine profitability by optimizing operations and maintenance costs and maximizing turbine availability. Early fault detection reduces maintenance costs Using industry-leading processing techniques the TurbinePhD system can detect faults before they cause secondary damage, avoiding costly down-tower repairs. Automated diagnosis reduces operating costs Automated fault diagnosis eliminates false alarms, preventing unnecessary maintenance trips, while also eliminating the need for diagnostic engineering support. Prognostics optimizes fleet availability to maximize revenue Prognostic estimates of your turbine’s health allow you to plan maintenance outages smarter, increasing fleet availability and maximizing revenue. Data Loggers Turbine Control Sensors Condition Monitoring Systems Renewable NRG Systems | Hinesburg, Vermont 05461 | USA 802.482.2255 | www.renewablenrgsystems.com

Without TurbinePhD Scenario With TurbinePhD A bearing in the high speed section of the gearbox develops a crack. Failure of bearing with Fault detected early, bearing secondary damage. Crane replaced up-tower, no crane needed, full gearbox needed. 4 days downtime. refurbishment. 14 days of downtime. Repair Costs Crane cost: Gearbox rebuild: Total: 14 days downtime Revenue Lost Total Cost Crane cost: Up-tower repair: Total: 4 days downtime TurbinePhD provides complete mechanical diagnostic coverage of the highest-value components in your turbine. Processing techniques leveraged from the...