Wind turbine predictive maintenance solution

Wind turbine predictive maintenance solution

Monitoring Pain Points

 

Common industrial fans such as induced draft fans, centrifugal fans, and centrifugal blowers are widely used in the chemical, power, metallurgical, and building materials industries. During normal operation, they may encounter various faults, such as bearing failures, impeller imbalance, motor failures, and seal leaks, affecting production efficiency and equipment lifespan.

Solution Advantages

 

Multiple sensors are installed on the wind turbine to collect real-time operational data. These sensors monitor key parameters such as vibration, temperature, pressure, and rotational speed, establishing a predictive model of the wind turbine's operating status. Through the learning and analysis of historical data, the model can identify the turbine's failure modes and characteristics and predict potential future failures.
Based on early warning signals and fault diagnosis results, reasonable maintenance decisions are made. This includes repairing faulty wind turbines, replacing key components, or performing regular maintenance and inspections to improve the reliability and maintenance efficiency of wind turbines, reduce downtime and maintenance costs, and bring greater economic and social benefits to the enterprise.

Make industry smarter and equipment healthier

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