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Case of Application

Ultra-early-stage Partial Discharge Diagnosis and Monitoring System

Optics Factory

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Ultra-early-stage Partial Discharge Diagnosis and Monitoring System - Optics Factory

The well-known optics factory has brand new high-voltage equipment installed in its expanded new premises, including high and low-voltage switchboards, power switch panels, capacitors, transformers, and generator systems, etc. In light of the extremely strict requirements over persistent, steady power supply for processes and production equipment inside the factory, the “Power Guard Ultra-early-stage Partial Discharge Diagnosis and Monitoring System” was particularly introduced to ensure overall power supply quality and to accordingly improve process yield rate so that it is not impacted by the power supply.

The test report of the “Power Guard Ultra-early-stage Partial Discharge Diagnosis and Monitoring System” will also be used in the future as the basis for maintenance and care of the high-voltage equipment. It will help not only extend the life span of high-voltage equipment but also reduce public accidents triggered by high-voltage equipment and losses associated with power failure.

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Customer demand:

  • Effective detection as soon as partial discharge occurs

  • Determination of the type and severity of partial discharge

  • Harsh working conditions (excessive and complex dynamic electric wave statics)

  • Recording of historical vibration data required to be the comparison basis

  • Easy-to-learn and easy-to-operate user interface

Key issues:

  • There are many dynamic electric wave statics with complex compositions; they can hardly be addressed with conditional threshold valves

  • Partial discharge changes with the electricity consumption status, climate, and insulation quality of the equipment itself

  • It is difficult to detect partial discharge during the early stage; the system needs to be sufficiently sensitive and does not involve reporting errors

  • It is impossible to detect equipment of varying brands and specifications in the same way

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Solution:

  • Digital full-frequency electro-magnetic wave sensor plus Edge AI Host

  • Real-time PRPD to identify the type of partial discharge

  • AI dynamic statics and noise-canceling to reduce the error rate

  • Ultra-long 100M antenna connector for easy installation

​​Benefits to Be Fulfilled:

  • Reduced disasters and losses caused by partial discharge

  • Effective control over the fit state of high-voltage equipment

  • Possible inspection/servicing or elimination/replacement of equipment with serious partial discharge

  • Extended life span of existing high-voltage equipment

  • Easy to reflect upon and track partial discharge

Architecture
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Ultra-early-stage Partial Discharge Diagnosis and Monitoring System

Partial Discharge Detection of High-Voltage Equipment

Supports: PRPD/PRPS AI identification

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