Diagnostics in Resin Transformers: the key role of Smart Nosy

In the world of power distribution and usage, resin transformers are critical components that require careful and informed management. Diagnostics, a new advancement in this specific field, is emerging as a cutting-edge solution to ensure the efficiency and longevity of these crucial assets. In this article, we will explore the concept of diagnostics and how SEA MARCONI’s Smart Nosy is redefining industry standards. Smart Nosy is the only technology that monitors the health of resin transformers and alerts in case of risk.

Diagnostics (in this context) is a proactive approach to maintenance that uses real-time data and chemical analysis to identify specific transformer “pathologies” and thus predict potential failures before they occur. For resin transformers, this materializes in:

• Real-time monitoring of critical parameters
• Trend analysis and anomaly detection
• Optimized lifecycle management of the machine

The result is a reduction in failures, a reduction in the risks of production losses, and an overall cost reduction in the apparatus and system lifecycle.

Applying diagnostics to resin transformers presents unique challenges related to:

1. Absence of insulating fluid to analyze
2. Inaccessibility of the windings
3. Sensitivity to environmental conditions
4. Need to maintain insulation integrity

These challenges require innovative and non-invasive monitoring and diagnostic solutions.

Smart Nosy, patented by SEA MARCONI, has been specifically designed to overcome these challenges. Here’s how it is redefining diagnostics for resin transformers:

1. Non-invasive monitoring
   Smart Nosy uses advanced sensors that do not require direct contact with the windings, preserving the integrity of the transformer.
2. Multiparametric analysis
   The system simultaneously monitors several critical parameters:
   • Transformer and cabinet temperatures
   • Particulate matter around the transformer
   • Humidity levels
   • Organic vapors emitted by the resin
   • Vibrations and acoustic noise
   • Transformer load
3. Machine Learning and human expertise
   Smart Nosy employs advanced algorithms and the expertise of experienced chemists to:
   • Adapt to the specific characteristics of each transformer
   • Identify abnormal patterns
   • Predict future trends
   • Suggest preventive/corrective actions
4. Early anomaly detection (pathologies)
   Thanks to the combined use of machine learning techniques and careful data interpretation by SEA MARCONI’s experts, a precise diagnostic picture can be drawn. This means that Smart Nosy can recognize the onset of a problem while SEA MARCONI assists the customer by providing appropriate countermeasures for the identified issue.
5. Integration with existing systems
   Smart Nosy can be integrated with the customer’s information systems (e.g., SCADA) or existing asset management systems, providing comprehensive support for asset and risk management.

Implementing Smart Nosy offers numerous advantages:

1. Reduction of unplanned downtime
2. Optimization of maintenance costs and the entire lifecycle
3. Extension of the transformer’s useful life
4. Data-driven decision-making support
5. Reduction of risks and increased safety

Diagnostics for resin transformers is rapidly evolving. Future trends include:

• Closer integration with industrial IoT systems
• Use of digital twins for advanced simulations
• Application of Artificial Intelligence (AI) for the discovery and understanding of new functional “pathologies”

SEA MARCONI, with Smart Nosy, is at the forefront of these innovations, continuing to develop solutions that anticipate market needs.

In an era where reliability and efficiency are crucial, diagnostics has become a necessity. Smart Nosy today represents a complete and innovative solution for managing resin transformers and, more generally, for asset and risk management.

By adopting Smart Nosy, companies can not only prevent costly failures and optimize their operations, but also position themselves at the forefront of Industry 5.0.