The GE Bently Nevada 330980-71-CN Proximitor Sensor is an advanced industrial measurement device designed for precision monitoring in demanding environments, ensuring accurate data collection and enhancing operational efficiency.
Material:High-grade stainless steel
Temperature Range:-40°C to +85°C
Accuracy:+/- 0.02% of reading
Operating Voltage:12V DC
Response Time:≤1ms
Operating Frequency:50Hz / 60Hz
Integrating state-of-the-art technology, the GE Bently Nevada 330980-71-CN Proximitor Sensor is designed for industries demanding high-precision monitoring solutions. Its robust construction ensures reliable operation in harsh environments.
With an operating temperature range from -40°C to +85°C, this sensor is suitable for extreme conditions typically encountered in industrial settings. Its accuracy of +/- 0.02% of reading ensures minimal measurement errors, crucial for maintaining operational efficiency.
Featuring a low response time of ≤1ms, the sensor provides instantaneous feedback on process changes, enabling quick adjustments to maintain optimal performance. This responsiveness is further enhanced by its compatibility with 12V DC operating voltage.
Equipped with advanced filtering capabilities, the sensor reduces noise interference, ensuring accurate readings even under fluctuating environmental conditions. Its frequency response supports both 50Hz and 60Hz systems, making it versatile across global industrial standards.
Manufactured using high-grade stainless steel, the GE Bently Nevada 330980-71-CN Proximitor Sensor offers durability and resistance against corrosion, ensuring longevity and reliability throughout its operational life. Ideal for applications requiring continuous monitoring of machinery health, process flow, or environmental conditions, this sensor is a game-changer for industries seeking enhanced control and predictive maintenance capabilities.
The GE Bently Nevada 330980-71-CN Proximitor Sensor is an advanced industrial measurement device designed for precision monitoring in demanding environments, ensuring accurate data collection and enhancing operational efficiency.