Industrial Probe Sensor EPRO CON021+PR6423/000-120

CON021+PR6423/000-120
Emerson
EPRO
Industrial Probe Sensor
Germany
ShangHai, Xiamen
12 Months
✓ New & Original
In Stock

Description

TheEPRO CON021is aprecision signal converterdeveloped byEmerson(formerlyEPRO) for use with thePR642x series non-contact eddy current sensors. It converts theraw analog signalsfrom the probes into standardized output signals (such as4-20 mAor0-10 V DC), allowing for seamless integration withcontrol systems,protection relays, andcondition monitoring platforms. This converter is deployed across various critical applications such assteamandgas turbines,hydroelectric generators, andindustrial compressors, where accurateshaft displacementandvibrationmeasurements are essential forpredictive maintenanceandmachine protection. Its high-frequency range and fast response time make it ideal fordynamic fault detectionandhigh-speed applications. TheCON021is built with arugged design,wide operating temperature range, and anIP65-rated enclosure, ensuring reliable performance inharsh industrial environments. Furthermore, it is compatible with a wide range of sensor models, includingPR6422,PR6423,PR6424,PR6425,PR6426, andPR6453, making it highly flexible and suitable for various asset types. TheEPRO PR6423/000-120is an eddy current displacement sensor from Emerson’sAMS machinery protectionfamily, engineered for precise non-contact measurement ofshaft vibration, axial displacement, and shaft positionin critical turbomachinery. With its 8 mm probe diameter, it provides high sensitivity and accurate measurements required for turbines, compressors, pumps, and high-speed rotating equipment. Moreover, the sensor is built for harsh industrial conditions. Its rugged design, integrated cable, andIP66 protection ratingensure stable performance in environments involving high temperatures, strong vibration, moisture, and electromagnetic interference. In addition, the PR6423/000-120 works seamlessly with theCON021 converterand AMS monitoring systems, delivering reliable data essential for predictive maintenance and asset protection.

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