Active Eddy Current Sensor - China Manufacturer

I’m with a China-based Manufacturer, and I know what B2B buyers expect. Our Active Eddy Current Sensor gives precise non-contact measurements of metal thickness and gaps in demanding lines, without touching the part. It’s built for automation: plug-and-play with PLCs, SCADA, and digital host systems, with output options including 4-20 mA, RS485, or TTL. You’ll appreciate its fast response, high stability, and repeatable results across temperature swings and vibration. Rugged housing, IP65 protection, and sealed electronics keep performance in wet or oily environments. Calibration is simple, and you can tune sensitivity to fit your process quickly. The compact footprint lets you retrofit in tight spaces, reducing downtime. For OEMs, job shops, and heavy industries in China and beyond, this sensor delivers reliable data and long service life from a trusted manufacturer. We serve China and global customers.

Hot Selling Product

Active Eddy Current Sensor Products Sets the Industry Standard

Global manufacturers demand higher speeds and tighter tolerances, and active eddy current sensors set the standard for displacement and proximity measurement. These non-contact devices deliver millisecond response, stable linearity, and excellent repeatability in harsh environments. With high-frequency measurement and robustness to oil, dust, and vibration, they enable real-time process monitoring, spindle feedback, valve positioning, and gear sensing. Compact, rugged housings with sealed options broaden use in automotive, robotics, packaging, and energy. Global buyers gain from seamless integration, versatile outputs, and dependable service. Active eddy current sensors offer digital interfaces (EtherCAT, PROFINET, EtherNet/IP, CANopen, Modbus TCP), programmable ranges, and linearization for precise position data. Factory-calibrated with long-term stability across wide temperatures, they maintain performance across sites. A capable supplier provides development kits, on-site commissioning, spare parts, and firmware updates, reducing risk and speeding time-to-market while ensuring quality and traceability.

{ Active Eddy Current Sensor Products Sets the Industry Standard}
Model Sensor Type Measuring Principle Range (mm) Resolution (µm) Linearity (%FS) Frequency Band (kHz) Output Temperature Range (C) Supply (V) Cable Length (m) IP Rating Applications
AEC-100A Planar Eddy current induction 0.5 - 5.0 0.5 0.15 1 - 20 0-10 V -20 to 100 12-24 2 IP67 Automotive assembly gap measurement
AEC-101B Clamp-On Eddy current induction 1.0 - 15.0 1 0.20 0.5 - 5 SSI -40 to 125 12-24 3 IP67 PCB thickness and connector gap control
AEC-102C Planar Eddy current induction 0.2 - 3.0 0.2 0.12 2 - 10 0-5V -25 to 85 24 5 IP54 Hydraulic cylinder gap measurement
AEC-103D Planar Eddy current induction 2 - 20 1 0.15 0.5 - 3 RS-485 -10 to 85 12-24 3 IP65 Bearing clearance in rotating machinery
AEC-104E Planar Eddy current induction 0.8 - 8 0.8 0.18 1 - 25 0-10V -30 to 110 12-24 4 IP67 Gearbox alignment checks
AEC-105F Planar Eddy current induction 2 - 12 1 0.10 5 - 15 SSI -40 to 125 12-24 2 IP67 Rail gap detection
AEC-106G Coil-On-Planar Eddy current induction 0.2 - 2.5 0.2 0.11 3 - 12 0-5V -20 to 85 24-48 3 IP54 Medical device non-contact proximity

Related Products

Active Eddy Current Sensor Now Trending Service Backed by Expertise

Data Dimension: Sensor Reliability Over Time

Real-Time Performance Trajectory of Eddy Current Sensing

100 80 60 40 20 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Monthly Sensor Reliability Score Reliability

This data visualization presents a time-series snapshot of a sensor service's performance across a calendar year. Each data point represents the reliability score of the active eddy current sensor system for a given month, scaled from 0 to 100. The line traces the trajectory of reliability as the service matures, while the monthly markers provide access to granular behavior such as mid-year improvements or seasonal dips. The data points are synthetic for demonstration, designed to illustrate typical patterns in a field deployment where calibration, maintenance workflows, and operator expertise influence performance.

Interpreting the trend, we observe a steady improvement from February through December, with a brief dip around March and August that may reflect calibration cycles or environmental factors. The general upward trend aligns with an increase in maintenance rigor and skill transfer, supported by documented training impact. The sharpest gains occur after May, where both maintenance and training intensity appear to synchronize with system optimization tasks. This suggests that ongoing expert backing translates into measurable reliability gains, even as occasional temperature fluctuations or mechanical wear introduce minor fluctuations. Additionally, the dataset hints at regional or operator-level variability that benefits from longer observation windows to distinguish noise from genuine shifts.

For product teams, these insights emphasize the importance of aligning service expertise with operational schedules. Proactive calibration windows, standardized maintenance checklists, and continuous education for field technicians can push the reliability score higher while reducing the variance caused by external conditions. As the service ecosystem evolves, monitoring a reliability trajectory enables rapid detection of regressions and informs decisions about resource allocation, spare parts provisioning, and refresher training to sustain performance improvements across deployments.

Top Selling Products