QUALITROL – PD Monitoring System

Optimize maintenance with the Iris Power PDTracII online PD monitor. It provides automated trending and superior noise filtering to prevent false alarms, benchmarking results against a global database of 700,000+ tests.

Giá: Liên hệ

The Iris Power PDTracII is a continuous online partial discharge (PD) monitoring system designed for motors, generators, dry-type transformers, and air-insulated switchgear rated up to 35 kV. It provides automated, reliable PD measurement and trending, helping asset owners detect insulation deterioration early, avoid catastrophic failures, and optimize maintenance planning.

  • Continuous Online Monitoring: Automated PD measurement for motors, generators, switchgear, and dry-type transformers.
  • Superior Noise Separation: Advanced filtering and pulse shape analysis reliably distinguish PD from electrical interference, minimizing false alarms.
  • Permanently Installed Sensors: Uses proven 80pF Iris Power Epoxy Mica Capacitors (EMC) for each phase.
  • Remote Inputs: Supports up to 8 analog points for trending operating conditions (temperature, voltage, current, power).
  • Data Analysis: Outputs phase-resolved PD plots, pulse height analysis, and summary numbers (Qm, NQN) for trending and benchmarking.
  • Global PD Database: Results can be referenced against Iris Power’s severity tables, based on over 700,000 machine tests.
  • Communication: Standalone or networked operation via USB, Ethernet, or Modbus; alert relay output for remote indication.
  • Certifications: ATEX/IECEx, C-US Class I Division 2, and other hazardous location certifications.
  • Local ambient humidity and temperature sensor
  • Configuration for existing low-frequency capacitive couplers (1nF–2nF)
  • Multiple enclosure and certification options for hazardous locations
  • Integration with plant SCADA systems via Modbus TCP/IP
  • Continuous PD monitoring for medium/high voltage motors, generators, dry-type transformers, and switchgear
  • Early detection of insulation abrasion, loose stator wedges, thermal degradation, and manufacturing defects
  • Condition-based maintenance and asset health management
  • Trending and benchmarking insulation condition against the global PD database
  • Integration with plant control and monitoring systems