DGA Monitoring System

Short Descrption for DGA Monitoring System

Our DGA monitoring system empowers you with real-time insights into your transformer’s condition. Proactively enhance performance and reliability while safeguarding against potential failures. With advanced technology and continuous monitoring, you can confidently manage your transformers and make informed decisions. Don’t wait for issues to arise; stay ahead with our DGA monitoring system.

Detail description

Expert System

Algorithms for analyzing the data acquired online are implemented in the software and reflect GE’s extensive experience with transformers.The expert system highlights issues through configurable alarms and provides clear correlated information as well as recommendations concerning the transformer continued operation, the suggested “next steps” and the need for services and maintenance.


• Load currents (A)
• Over-currents (A)
• Total number of over-currents (A)
• Load factor (A)
• Overload capacity (A)
• Emergency overloading time (A)
• Apparent power (A)
• Active power
• Reactive power
• Transformer power factor (cos φ)
• Transformer losses


• Top oil temperature (A)
• Bottom oil temperature
• Calculated hot spot temperature (A)
• Winding temperature
• Moisture in insulation paper (A)
• Bubbling temperature (A)
• Bubbling safety margin (A)
• Breakdown voltage (A)
• Lifetime consumption (A)
• Ageing rate (A)

Oil Analysis

Both off-line and online data can be analysed.DGA using the most common diagnostic tools: Duval’s triangle, Rogers and Doernenburg ratios, Key Gas methods, etc… as per IEEE C57.104 and IEC 60599. Users can select the method most appropriate to their situation. They can also perform Furfural determination and oil condition evaluation according to IEC 60422:

Dissolved Gas Analysis

• Gas in oil content (1 to 9 gases) (A)
• Gas in oil rate of change (A)
• Moisture in oil content (A)


• Operating voltages (C).
• Transient lightening over-voltages (C).
• Total number of over-voltages (C).
• Change of C1 capacitance (C).
• Power factor (tan δ).
• Oil/SF6 pressure/density.

Transient Over-Voltage

  • Detection of fast transient over- voltages (up to 5 MHz) caused by network switching.
  • Capture of full waveform.

On Load Tap Changer

• OLTC position (A)
• Number of switching operations (A)
• Number of operations until service (A)
• Cum. switched load current (A)
• Cum. current until service (A)
• Power consumption of motor drive (B)
• Motor drive current
• Operation timing (B)
• Assessed mechanical condition (B)
• Energy index (B)
• Contact erosion
• Gas in oil content
• Moisture in oil content
• Oil temperature
• Oil temperature differences
• Oil level in OLTC


• Ambient temperature. (A)
• Ambient humidity.
• Cabinet temperature.

Other measures

• Oil level in main tank.
• Oil pressure.
• Humidity of air inside conservator.
• Gas quantity/gradient in Buchholz relay.
• Other digital and analogue inputs.
• Other parameters on request.

Oil Analysis

Both off-line and online data can be analysed.DGA using the most common diagnostic tools: Duval’s triangle, Rogers and Doernenburg ratios, Key Gas methods, etc… as per IEEE C57.104 and IEC 60599. Users can select the method most appropriate to their situation. They can also perform Furfural determination and oil condition evaluation according to IEC 60422:

Partial Discharge

• Electrical PD.


The built-in simulator module allows the user to simulate external events or internal transformer events and to study the corresponding effect on the transformer’s behavior. It can be invaluable for weighing up options when faced with a difficult decision but can also be used for training of personnel.

Report Generator

The configurable report generator quickly and easily creates a user-friendly report onthe status of the transformer and of its main components. The report can be created on demand for selected monitored functions over a specified time frame.

RModular monitoring solution for power transformers

The MS 3000 is a globally recognized online monitoring solution with well over 1,000 installations worldwide which benefits from extensive transformer manufacturing DNA. It is a powerful tool that concentrates most of the transformer data available and combines it with sophisticated models, diagnostic algorithms and practical experience to help the user evaluate the health of the transformer, monitor its current performance and optimize its operational efficiency. The MS 3000 is modular and highly configurable so that it can accommodate a wide range of specifications or customer requirements surrounding monitoring of the 6 main areas responsible for the failure of power transformers. Standard configurations are also available to cover typical requirements. Its wide range of communication options facilitates connection to SCADA systems, data historians and Asset Performance Management (APM) systems. All this is provided by a single vendor with extensive transformer manufacturing and monitoring experience, which supports the customer from conception to deployment, ensures that the solution meets expectations and stands by it for the long term.



The Web server built into the MS 3000 provides web pages in several languages which can be accessed using a standard web browser. The key data overview screen will highlight any alarm and enable to drill down into more specific data. When part of a transformer fleet, integration with GE’s Perception software** enables centralized information, leveraging of fleet data and fleet health ranking.

Sophisticated Modelling

With a multitude of sensors constantly delivering refreshed online data, the MS 3000 uses sophisticated models to analyse all this data, correlate it when additional sources are available and convert the data into actionable information in order to enable the asset owner to get the most out of the transformer.

Transformer monitoring is a critical component of modern power distribution and management systems. As power grids become more complex and interconnected, ensuring the reliable and efficient operation of transformers is paramount. Dissolved Gas Analysis (DGA) is a central element of transformer monitoring, providing insights into the condition and performance of these vital assets.

The MS 3000 transformer monitoring system offered by GE is a testament to the ever-evolving technology designed to meet these demands. This holistic and modular system allows for the essential to comprehensive coverage of transformers, addressing the most common causes of failure. It can integrate data from various sensors, including those monitoring the active part, bushings, tap changer, and cooling system, creating a single, cohesive data source. Through advanced analytics and modeling, the MS 3000 transforms this data into actionable insights.

Beyond its ability to prevent data overload, the MS 3000 stands out as an “Expert System.” This designation underscores its capacity to provide intelligent alarms, diagnostics, and recommended operational steps. These features enable asset owners to confidently assess a transformer’s condition, identify potential issues before they escalate, and make informed decisions to optimize operation and reduce life-cycle costs.

The Additional Advantages of the DGA Monitoring System

  1. Comprehensive Health Assessment: By continuously monitoring the entire transformer, from its active components to critical systems, the DGA monitoring system ensures a comprehensive view of its health. This approach is essential in identifying and addressing issues proactively, thereby preventing unplanned downtime and reducing maintenance costs.

  2. Tailored Monitoring Solutions: The modular design of the MS 3000 offers flexibility in coverage, allowing asset owners to tailor the system to their specific requirements. This adaptability is crucial for addressing unique challenges and maximizing the value of transformer monitoring.

  3. Multi-Transformer Insights: In a substation with multiple transformers, having all data available at a glance streamlines the assessment of transformer health. This multi-transformer perspective helps asset owners make coordinated and efficient decisions.

  4. Empowering Decision-Making: The MS 3000 functions as an “Expert System,” providing valuable support for asset owners and managers. It ensures that decisions are based on solid data, empowering them to manage costly assets effectively.

  5. Economic Efficiency: With the ability to optimize operation and maintenance based on real-time data, the DGA monitoring system offers substantial economic benefits. It minimizes life-cycle costs, contributing to a positive return on investment.

  6. User-Friendly HMI: The web server-based human-machine interface (HMI) simplifies access to data analysis, eliminating the need for complex software installations. Users can easily navigate and interpret the collected data, making the system user-friendly and accessible.

  7. Centralized Information and Fleet Data: The integration with GE’s Perception software centralizes information and allows for the leveraging of fleet data. This interconnected approach enhances the visibility and management of assets across the entire network.

  8. Smart Grid and Digital Substation Compatibility: As the power distribution landscape evolves towards Smart Grids and Digital Substations, the DGA monitoring system effortlessly integrates into these advanced technologies. This compatibility future-proofs the investment, ensuring that it aligns with the direction of the power industry.

Who are We?



Where do we have clients and supply our DGA Monitoring System ?

IndiaUnited Arab EmiratesUganda
South KoreaAlgeriaSouth Africa
Saudi ArabiaEthiopiaAustralia

Advantage of DGA Monitoring System

Dissolved Gas Analysis (DGA) monitoring systems offer a host of advantages that make them indispensable tools in the management of transformers and the broader power distribution infrastructure. Here are the key advantages of DGA monitoring systems:

  1. Early Fault Detection: DGA systems excel at early fault detection by analyzing gases dissolved in transformer oil. By identifying minor changes in gas levels, these systems can detect issues like overheating, arcing, partial discharges, and insulation breakdown long before they become critical failures.

  2. Prevent Catastrophic Failures: DGA monitoring systems can prevent catastrophic failures, saving utilities and organizations significant costs in repair and downtime. By providing early warnings, these systems allow for planned maintenance and component replacement.

  3. Cost Savings: DGA monitoring can significantly reduce operational costs by enabling condition-based maintenance. Maintenance can be scheduled based on the actual condition of the transformer, rather than a fixed calendar schedule, leading to efficient resource utilization and cost savings.

  4. Extended Transformer Lifespan: Timely detection and mitigation of issues lead to a longer lifespan for transformers. This results in a higher return on investment for these expensive assets.

  5. Improved Reliability: DGA systems enhance the reliability of power distribution networks by reducing the risk of unexpected transformer failures. This is especially crucial for utilities striving to maintain a continuous supply of electricity.

  6. Reduced Downtime: DGA systems minimize unplanned outages and downtime, ensuring that power distribution remains stable and consistent, even during maintenance activities.

  7. Data-Driven Decision Making: These systems provide actionable data, empowering utilities and organizations to make informed decisions about maintenance, repairs, and asset management.

  8. Optimized Resource Allocation: With DGA systems, resources can be allocated more efficiently. Maintenance teams can prioritize transformers that require attention, rather than spending time on those in good condition.

  9. Environmental Impact Reduction: By preventing unplanned outages and reducing the likelihood of catastrophic failures, DGA systems also contribute to reducing the environmental impact of the power sector.

  10. Compatibility with Smart Grids: DGA monitoring systems are well-suited for integration with Smart Grid technologies. This compatibility allows for real-time data exchange and enhanced grid management.

  11. Enhanced Safety: Proactive maintenance based on DGA data keeps transformers in optimal condition, reducing the potential for safety hazards associated with transformer failures.

  12. Regulatory Compliance: Many utilities and organizations are subject to regulatory requirements for transformer maintenance and monitoring. DGA systems help ensure compliance with these standards.

  13. Asset Management: DGA monitoring is an essential part of an organization’s asset management strategy. It allows asset owners to maximize the performance and longevity of their transformers.

  14. Adaptability: DGA systems can be tailored to the specific needs of transformers in various applications, whether they are used in utility substations, industrial facilities, or data centers.

  15. Scalability: These systems are scalable, accommodating additional transformers or sensors as an organization’s infrastructure grows.

  16. Enhanced Data Analytics: The data collected by DGA systems can be used for advanced analytics, helping organizations gain deeper insights into their transformer fleet’s performance and health.

  17. Strategic Planning: DGA monitoring supports long-term strategic planning by providing historical data that aids in forecasting maintenance needs, budgeting, and resource allocation.