OM.R921 Transformer Partial Discharge Online Monitoring System

Product Overview
The OM.R921 Transformer Partial Discharge Online Monitoring System is specifically designed for monitoring the insulation condition of transformer equipment. Utilizing built-in UHF sensor technology, it continuously tracks partial discharge signals within the transformer in real time. Through advanced backend data analysis software and an intelligent diagnostic system, the system analyzes and processes these signals to assess the transformer's insulation status, identify defect types, and pinpoint the approximate location of any issues. The collected electrical signals are converted and processed before being uploaded via a local area network to remote monitoring stations, which then provide actionable maintenance recommendations. This proactive approach helps prevent insulation failures, minimizes downtime and maintenance costs, and delivers essential guidance data to ensure the reliable and safe operation of transformers—ultimately enhancing their overall performance and reliability.

System Architecture
Perception Layer: Employs built-in partial discharge sensors connected to the on-site transformer partial discharge acquisition unit via coaxial cables.
Node aggregation layer: Employs RF radio frequency processing and a high-speed acquisition board to collect partial discharge signals, which are then transmitted via fiber optic cable to the partial discharge diagnostic server.
Comprehensive Diagnostic Layer: Employs large-capacity real-time database technology to store partial discharge data, and leverages an intelligent neural network algorithm—based on a partial discharge fault fingerprint database—to accurately identify fault types. It also enables early warning of partial discharge faults through event trend analysis and statistical methods.

Advantageous Features
● Ultra-high-speed detection technology that effectively captures the time-domain characteristics of ultra-high-frequency signals
● The sensor features a compact and well-designed structure that can be installed without altering the internal layout, ensuring no disruption to normal operation.
● The UHF partial discharge sensor features a unique antenna gating technology that effectively suppresses interference signals, coupled with multiple noise-reduction methods such as pulse identification and characteristic spectrum analysis, to minimize various disturbances and significantly enhance the signal-to-noise ratio.
● The local area network forms a distributed monitoring system, enabling synchronous data acquisition from all sensors with excellent real-time performance, and allowing defect locations to be pinpointed by comparing signals across the sensors.
● Powerful backend expert system: capable of recording the timing and characteristic parameters of each discharge event, enabling the generation of 2D spectrograms—such as ellipse plots and Q-< Φ , N-Φ) and 3D spectrograms: (PRPS, PRPD), with the ability to view historical records and perform real-time waveform analysis at any time. It also features powerful partial discharge trend analysis capabilities, providing insights such as the location of partial discharge faults and the specific fault patterns involved.
● Utilizing data analytics and intelligent diagnostic technologies, analyze all historical signals and provide relevant maintenance recommendations.
● Open database, allowing users to add new discharge models independently
● Communication method complies with the State Grid DL/T860 (IEC61850) standard

System Parameters

On-site Cases

Hubei Fenghuangshan 500kV Substation of the State Grid		State Grid Jilin Baicheng Tian Shui 500kV Substation