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Manufacturer : Bently Nevada

Product No. : 200157-23-CN 

Product type : Sensor Proximity

Excitation Voltage: 4.7 to 5.5 Vdc

Polarity (Acceleration from Base to Connector): SIG+ positive with respect to SIG-

Quiescent Current: <800 µA

Output Bias Voltage: +2.5 ± 0.23 Vdc

Mounted Resonant Frequency: >20 kHz (>1200 kcpm)

Amplitude Linearity (1 to 10g pk): ±2%

Transverse Sensitivity: ≤7%

Axial Shock Limit: 49,050 m/s² pk (5,000 g pk)

Temperature Range: -40 ºC to +105 ºC (-40 ºF to +221 ºF)

The Bently Nevada 200157-23-CN Proximity Sensor is designed for precise vibration and position measurements in industrial machinery. It uses eddy current technology to detect changes in the distance between the sensor and a conductive target, providing accurate proximity data for condition monitoring and predictive maintenance. This sensor is typically used in high-performance monitoring systems where reliable, real-time data is critical for preventing equipment failure. Built to withstand harsh industrial environments, the 200157-23-CN offers durability and stability, making it ideal for use in turbines, motors, and other rotating equipment.

Frequently Asked Questions

Q1: What is the Bently Nevada 200157-23-CN Sensor Proximity?

A1: It is a proximity-based sensor used in machinery condition monitoring systems to measure shaft position and vibration without physical contact.

Q2: What is the 200157-23-CN excitation voltage range?

A2: The 200157-23-CN sensor operates with an excitation voltage of 4.7 to 5.5 V DC.

Q3: What is the 200157-23-CN quiescent current?

A3: The 200157-23-CN quiescent current is less than 800 µA, ensuring low power consumption.

Q4: What is the 200157-23-CN output bias voltage?

A4: The 200157-23-CN output bias voltage is +2.5 ± 0.23 V DC.

Product Applications

Electric power industry: Monitoring the vibration of large rotating equipment such as steam turbines, generators, and fans.

Petroleum and chemical industry: Applied to the vibration measurement of bearing housings and shells of key equipment such as compressors, pumps, and reaction vessels to achieve predictive maintenance.

Metallurgical industry: Monitoring the operating status of equipment such as fans, motors, and rolling mills.