DC Leakage Current Sensor

Applications

  • DC transmission
  • Energy storage
  • Switchgear
  • Power supply
  • Medical device
  • Wind power generation
  • Communication base station

Features

  • Accuracy: 1%
  • Overload capacity: 20A
  • Responding time: <300ms
  • Operating temperature: -25 - +70 ℃
  • UL 94-V0 compliant
Download Datasheet

Product Overview

YuanXing Electronics has developed a very precise DC leakage current sensor designed for critical monitoring in energy storage, wind power and medical systems. Using advanced Electromagnetic Induction, this sensor can accurately measure small amounts of DC leakage to within one percent (1%) and linearity to within a half percent (0.50%). The sensor case is manufactured from UL 94-V0 rated flame retardant material, providing protection against shocks when mounted in PV Combines or DC Power Panels. This sensor has a high level of galvanic isolation thus guaranteeing the manufacturer reliability and long operating life in sensitive circuits.

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    Frequently Asked Questions

    Honeywell needed a stable and highly accurate way to measure current fluctuations in large commercial buildings. Existing sensors often produced noise and drifted over time, creating errors in smart energy dashboards

    Honeywell needed a stable and highly accurate way to measure current fluctuations in large commercial buildings. Existing sensors often produced noise and drifted over time, creating errors in smart energy dashboards

    Honeywell needed a stable and highly accurate way to measure current fluctuations in large commercial buildings. Existing sensors often produced noise and drifted over time, creating errors in smart energy dashboards

    Honeywell needed a stable and highly accurate way to measure current fluctuations in large commercial buildings. Existing sensors often produced noise and drifted over time, creating errors in smart energy dashboards

    Honeywell needed a stable and highly accurate way to measure current fluctuations in large commercial buildings. Existing sensors often produced noise and drifted over time, creating errors in smart energy dashboards