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Transformer asset and fleet health management with Ronin AI

Transformer asset and fleet health management with Ronin AI

by Seetalabs | Jan 4, 2024 | Article, Health Index, News, Power Transformers, Predictive Maintenance, Research, Transformers Oil

Globally, transformer experts agree that a health index cannot indicate how rapidly the transformer condition may worsen and the type of action needed. Rather it indicates how “unhealthy” an asset is. This begs for two questions, (i) what is the use of...
The Bias Risk in Health Index: Humans vs. Ronin AI

The Bias Risk in Health Index: Humans vs. Ronin AI

by Seetalabs | Sep 16, 2023 | AI, Article, News, Power Transformers, Predictive Maintenance

If artificial intelligence (AI) is to reach its potential in transformer industry, then it is imperative to minimize the risk of bias in decision making, particularly for asset management. A blog post from Mckinsey suggests that one of ways we can tackle the risk of...
Can API integration of Ronin AI & your DGA calculator save your transformer?

Can API integration of Ronin AI & your DGA calculator save your transformer?

by Seetalabs | Jul 21, 2023 | Article, Health Index, News, Power Transformers, Predictive Maintenance, Research

Short answer, yes. Global enterprises rely on integration between different APIs to unlock the full potential of accessible technical services and knowledge about their asset’s performance. API integration is largely (mis)understood as a IT folk-talk....
Transformers in transition: Navigating the future of industry

Transformers in transition: Navigating the future of industry

by Seetalabs | Jun 6, 2023 | Condition Monitoring, Predictive Maintenance, Sustainability

The emerging need for clean energy transition focuses largely on the best practices of sustainability and digitalization for managing product lifecycle. The moment quite pivotal for distribution network operator (DNO), distribution system operator (DSO) or...
Achieving sustainability in transformer condition-based monitoring

Achieving sustainability in transformer condition-based monitoring

by Seetalabs | May 24, 2023 | Condition Monitoring, Predictive Maintenance

Transformers are critical assets in industrial and electrical processes. According to the CIGRE transformer reliability survey, 1 out of every 200 transformers fails annually. Thus, there is a higher demand for online and continuous monitoring systems to prevent...
Building a data management strategy for online condition monitoring

Building a data management strategy for online condition monitoring

by Seetalabs | May 11, 2023 | Condition Monitoring, Predictive Maintenance

Often asset managers ponders if online and real-time condition monitoring is the key to digital transformation. Online condition monitoring is critical for a reliable asset management strategy. However, a comprehensive insight of the emerging trends and challenges in...
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News

  • Multi-source data transformer monitoring for better maintenance. 27 December 2024
  • Transformer asset and fleet health management with Ronin AI 4 January 2024
  • Revolutionizing energy efficiency and transition with AI 7 November 2023
  • Demystifying AI jargon: a guide to key terminology from ISO 22989:2022 standard 18 September 2023
  • Unlocking AI’s potential: addressing AI-generated content misuse through ethical governance in AI development 18 September 2023

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