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PDiagnosticM

Portable Short-Term Online Partial Discharge Monitoring System

A State-Of-The-Art, Portable, Online Partial Discharge Monitoring System for Short-Term PD Monitoring on Electric Power Equipment with Data Diagnostic Software, Cloud Diagnostic Technology, and PD Monitor App

The PDiagnosticM is a portable system t hat utilizes UHF, AE, and HFCT sensor modules to monitor PD signals from Medium and High Voltage power equipment.

The system is ideal for monitoring critical power assets to find and monitor int ermittent PD signals and to analyze the developing PD trends. The PD type is determined by automatic pattern recognition and internal defects can be found at an early stage.

The system provides advanced protection with alarm functions and our Deep Learning data analysis capabi lities utilizing our proprietary Intelligent Cloud Diagnostic Technology.

Applications

  • GIS
  • Power cables
  • Substations
  • MV switchgear
  • Transformers

Main Features

  • Monitors for PD in real time via 10 customizable channels simultaneously
  • Acoustic-electric combination detection/analysis technology is adopted for superior data analysis
  • Provides PRPD, PRPS, AE amplitude, and AE waveform spectrums
  • Features adjustable data sampling intervals, adjustable alarm thresholds, data trending, and automatic PD diagnostic results with PD type(s) or noise to determine the severity.
  • Employs weatherproof design which is suitable for both outdoor and indoor use, and is ideal for short-term monitoring req uirements with fast and easy installation.
  • Advanced data diagnostic capability by utilizing Deep Learning via our PMDTCloud
  • Connects to the network v ia 3G/4G and transmits data to the PMDTCloud
  • The PMDTCloud manages multiple assets from numerous substations with several users - simu ltaneously from one server
  • Login to the PMDTCloud via any secured web-enabled device for access to the latest data and current asset condition information
  • An Android/IOS smart phone application is supplied with the PMDTCloud for users to view the data and displays alarms in real time

 PDiagnosticM Details 

 

 

New Catalog 2017