Partial Discharge Current Sensors Image 1

Partial Discharge Current Sensors

Applications

  • Switchgear
  • Protection for power generator and transformer

Features

  • Quick response in nanoseconds
  • Wide working frequency range: 100kHz - 50MHz
  • High accuracy
  • Easy installation
  • IP68 waterproof
  • Sensitivity: 5pC
  • Output electrical impedance: 50Ω
  • Output connector: BNC connector, or specified by user
  • Operating temperature: -40℃~+85℃
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Product Overview

Yuanxing Electronics’ Partial Discharge Current Sensors are high-frequency current transformers (HFCTs) designed for the non-invasive online monitoring of insulation in critical high-voltage assets. These precision partial discharge sensors detect transient currents emitted by PD activity within cables, GIS, and transformers. The PD sensor provides the high precision measurements needed for a predictive maintenance strategy by allowing for the early identification of faults before a failure occurs. The structures allow to improve the reliability and safety of power systems.

Typical Products

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