BENTLY NEVADA 60M100-00 | Wind Turbine Transmission System Status Monitoring System

BENTLY NEVADA 60M100-00 is a condition monitoring system for wind turbine transmission systems

· Sensor type and measurement range: Eddy current proximity sensor is used, with a measurement range of 0 to 100mm, a resolution of 0.1mm, and an accuracy of ± 0.5% 

of the full range.

· Output signal: The output signal ranges from 10mA to 20mA.

· Working environment: The working temperature range is -40 ° C to+85 ° C, the storage temperature is -55 ° C to+105 ° C, the humidity is 0 to 95% RH, non condensing, 

and can withstand vibration of 50g rms, 10 to 2000Hz, and impact of 50g, 11ms duration.

· Physical dimensions and installation: The size is 82x40x25mm, the weight is 0.5kg, and there are 2 M5 threaded holes for installation. The electrical connection uses M12 

connectors.

· Electrical characteristics: The working voltage is generally 24V DC, with good resistance to electromagnetic interference, and can work stably in complex industrial 

electromagnetic environments.

· Wind turbine status monitoring: capable of real-time monitoring of key parameters of the wind turbine transmission system, such as vibration, temperature, and speed. 

By monitoring and analyzing these parameters, potential faults and abnormal situations of the equipment can be detected in a timely manner, providing warning information 

for the operation and maintenance personnel of the wind farm, so as to take maintenance measures in advance, reduce equipment downtime and maintenance costs, and improve the reliability and availability of wind turbines.

· Fault diagnosis and analysis: This system can record and store a large amount of monitoring data. By comparing and analyzing historical and real-time data, it helps 

technicians to diagnose faults and analyze their causes. In addition, it can be combined with other diagnostic tools and technologies, such as spectrum analysis, trend analysis, 

etc., to further improve the accuracy and efficiency of fault diagnosis.

-Performance evaluation and optimization: By monitoring and analyzing long-term operating data of wind turbines, the performance of the units can be evaluated, such as 

power generation efficiency, power curve, etc. Based on the evaluation results, provide optimization suggestions for the operation and maintenance of wind farms, such as 

adjusting operating parameters, optimizing maintenance strategies, etc., to improve the overall performance and power generation efficiency of wind turbines.

· Remote monitoring and management: Supports remote communication function, which can transmit monitoring data to a remote monitoring center or cloud platform. 

Operation and maintenance personnel can monitor and manage wind turbines in real-time through the network in a location far away from the wind farm, timely understand 

the operating status and alarm information of the equipment, facilitate remote diagnosis and decision-making, and improve the efficiency and convenience of operation 

and maintenance management.