Condition Diagnostics for wind parks

Winergy solution with OPENpredictor™ to reduce total cost of ownership.

Winergy, a German based leading supplier of innovative drive systems to the international wind power industry, partners with Rovsing Dynamics to develop their new Predictive Condition Diagnostics solution for wind turbines. The objective is to increase the availability and facilitate Condition Based Maintenance to reduce wind park owners’ total cost of ownership.

Winergy presented its new Condition Diagnostics System for gear boxes and other critical wind turbines components at the recent Husum WindEnergy trade show.

“To fulfil wind park owners requests for high turbine availability, optimized maintenance planning and low lifecycle costs, we wished to extend our offerings with more than just a simple alarm system,” says Dr. Volker Kreidler, Winergy’s Chief Technology Officer. “We want a predictive monitoring solution which forecasts developing turbine faults and predicts lead time to action. It must be an intelligent solution with automated diagnosis based on software, not people, doing the cumbersome analysis of vast amount of real-time data on component health. Remote monitoring of large wind parks with advanced user-oriented reporting possibilities are other key requirements. All these features are paramount for cost-efficient monitoring of wind parks, and with support from Rovsing Dynamics we have now reached this goal.”

The Predictive Condition Diagnostic solution is based on standard products, which have proved themselves in daily operation world wide. Rovsing Dynamics’ advanced OPENpredictor™ signal processing software and patented AutoDiagnosis™ with automated fault identification and prediction have been adapted to suit the needs of wind turbines and embedded into a strong Siemens hardware platform. The system can be supplied for new wind parks or retrofitted to existing ones.

Read more >>