Emerson EPRO CON021+PR6424/000-110 Eddy Current Vibration Sensors

Description

The Emerson EPRO CON021+PR6424/000-110 is a high-precision eddy current sensor system designed for non-contact radial and axial shaft displacement monitoring in turbines, compressors, and motors. It is widely used in predictive maintenance and machine protection across heavy industries.

Specifications

• Manufacturer: Emerson

• Model Number: CON021+PR6424/000-110

• Sensor Type: PR6424/000-110 eddy current probe

• Converter Type: CON021 signal converter

• Measurement Principle: Eddy current (non-contact)

• Measuring Range: 10.0 mm extended range

• Sensitivity: Approximately 2 V/mm

• Linearity Error: ≤ 2.0%

• Target Material: Ferromagnetic steel (e.g., 42CrMo4)

• Sensor Operating Temperature: –35°C to +175°C

• Max Cable Temperature: 200°C

• Protection Rating: IP67

• Pressure Resistance: Up to 6,500 hPa

• Shock/Vibration Resistance: 5g @ 60 Hz

• Cable Type: PTFE-insulated with stainless steel sleeve

• Cable Length Options: 5 m, 8 m, or 10 m

• Converter Output: Configurable analog signal (–4V to –20V or –2V to –18V)

• Frequency Response: 0–20,000 Hz (–3 dB)

• Rise Time: <15 μs

• Supply Voltage: –21V to –32V DC

• Converter Operating Temperature: –30°C to +100°C

• Housing Material: LMgSi 0.5 F22 alloy

• Mounting: Panel mount with M5 screws

• Connections:

  • Sensor: Self-locking LEMO plug

  • Output: Screw terminal (max 1.5 mm² wire)

Features

• Extended Range Monitoring: Measures shaft displacement up to 10 mm for critical machinery

• High Sensitivity: Delivers precise analog output for vibration and position analysis

• Durable Construction: Withstands high temperature, pressure, and vibration in industrial environments

• Flexible Installation: Multiple cable lengths and panel mounting options for versatile setup

• Fast Response Time: <15 μs rise time supports real-time diagnostics

• Reliable Signal Conversion: Configurable output ensures compatibility with control and monitoring systems

• Industry Proven: Widely used in energy, petrochemical, and heavy machinery sectors for predictive maintenance