Transformer Health AI

Advanced condition monitoring and AI-powered hotspot detection for critical power infrastructure

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Imaging

Electrical Analysis

Vibration Monitoring

AI Predictive Analytics

$8B+
Global Market
30%
Outage Reduction
42%
Failure Reduction
95%
Detection Accuracy

Business Context & Market Potential

Transformative monitoring for critical power infrastructure

Application Area

Electrical substations, renewable energy farms, heavy industry, and critical infrastructure grids.

Problems Addressed

Transformer failures cause widespread blackouts, costly downtime, and safety hazards due to undetected internal hotspots or insulation degradation.

Our Solution

Edge-based system with ESP32 and Raspberry Pi sampling electrical/vibration signals and Topdon TC001 thermal camera integration.

Unique Selling Proposition

  • Automatic thermal hotspot detection with cloud AI analysis
  • Digital twin visualization of hotspot locations
  • Retrofittable solution with minimal hardware intrusion

Benefits

  • Reduction in unplanned outages by up to 30%
  • 10–15% extension of transformer operational life
  • 25% reduction in preventive maintenance costs

Target Customers

  • Utility companies seeking grid reliability
  • Industrial EPCs providing asset management
  • OEM manufacturers offering analytics

Business Potential

  • India: 250,000+ substations with major grid modernization initiatives
  • Global: $8B+ transformer monitoring market, growing rapidly in APAC and EMEA regions

Key Features

Comprehensive transformer health monitoring with advanced AI capabilities

Thermal Imaging

Thermal Imaging

Continuous hotspot detection using Topdon TC001 thermal cameras with AI-powered anomaly identification

Electrical Analysis

Electrical Analysis

Real-time monitoring of voltage, current, harmonics, and partial discharge at 500Hz sampling rate

Vibration Monitoring

Vibration Monitoring

FFT-based analysis of mechanical vibrations to detect core and winding deformations

Predictive Analytics

Predictive Analytics

LSTM neural networks predicting insulation degradation and potential failures 7-14 days in advance

Digital Twin

Digital Twin

3D visualization of transformer health with thermal overlays showing exact hotspot locations

Condition Scoring

Condition Scoring

Comprehensive health index (0-100) combining electrical, thermal and mechanical parameters

Frequently Asked Questions

Get answers about transformer condition monitoring

Our AI-powered thermal analysis achieves 95% accuracy in detecting developing hotspots, with a false positive rate below 3%. The system can identify temperature anomalies as small as 2°C above normal operating ranges.

Yes, our solution supports standard protocols including Modbus RTU/TCP, IEC 61850, OPC-UA, and DNP3. We can either push alerts to your existing SCADA or provide a comprehensive standalone dashboard that complements your current systems.

Our system complements traditional DGA (Dissolved Gas Analysis) by providing continuous thermal monitoring of external surfaces and bushings. For transformers with online DGA monitors, we can integrate gas analysis data into our health scoring algorithm for complete condition assessment.

The Topdon TC001 thermal camera comes with a rugged, weatherproof enclosure and adjustable mounting bracket. It can be installed on existing structures 2-5 meters from the transformer, with clear line-of-sight to critical components. Typical installation takes about 1 hour per transformer.

Get Started Today

Ready to transform your transformer monitoring? Contact our team for a personalized consultation.

Why Choose Our Solution?

  • Proven Technology: Deployed across 50+ transformers
  • Industry Expertise: 15+ years in power systems monitoring
  • Custom Solutions: Tailored to your specific requirements
  • 24/7 Support: Dedicated technical assistance
  • ROI Focused: Clear path to cost savings and efficiency
Contact Information

research@intuitiverobotics.in

+91- 9433043040

565, Central Road,
Sonarpur, WB 700150