End-to-end predictive maintenance platform for critical power assets
Our comprehensive transformer monitoring solution includes sensor deployment, real-time data acquisition, AI-powered analytics, and automated reporting. We provide both turnkey implementations for utilities and OEM integrations for transformer manufacturers.
The platform continuously monitors critical parameters including oil temperature, dissolved gases, vibration, power factor, current, and voltage. Our machine learning models detect anomalies weeks or months before failure, enabling proactive maintenance interventions.
Wireless IoT sensors collect oil temperature, vibration, current, and voltage data every second. Edge gateways aggregate and transmit encrypted data to our cloud platform with military-grade security.
Advanced ML algorithms analyze historical and real-time data to identify fault signatures. Our models detect insulation degradation, winding deformation, core issues, and bushing deterioration.
Intuitive dashboards show transformer health index, parameter trends, and anomaly scores. Automated reports delivered daily/weekly via email. Export data in PDF, Excel, or CSV formats.
Personally identifiable facility data is fully encrypted and can be masked if required. The service is hosted on ISO 27001 certified cloud infrastructure with role-based access control and complete audit trails.
Our solution is highly generic and scalable - from monitoring a single critical transformer to an entire fleet of hundreds across multiple substations. We support industry-standard protocols including Modbus, DNP3, IEC 61850, and MQTT for seamless integration.
Each transformer's data is run through our advanced Machine Learning engine to build unique baselines and detect subtle deviations. We generate Health Index (0-100%), Remaining Useful Life (RUL), and Risk Scores based on multi-parameter fusion.
Contextual baselines - comparing against similar transformers, same manufacturer, or same age group - provide benchmarking insights. All reports are accessible via web dashboard or can be automatically emailed to stakeholders at configured intervals.
Intelligent Asset Management for the Modern Grid
Transformer fleet management, as a function, today faces unprecedented challenges - aging infrastructure, increasing load demands, and limited maintenance budgets. Traditional time-based maintenance is no longer sufficient or cost-effective.
Pradjna™ provides a solution where currently there is a critical gap in predictive failure detection. By engaging with us, you gain the capability to identify developing faults weeks in advance, prioritize interventions based on criticality, and extend transformer lifespan by 5-10 years.
Flexible subscription with per-transformer monthly pricing. No upfront CAPEX, includes all software updates and AI model improvements.
Pay-as-you-go for low volume monitoring. Annuity-based enterprise plans for high volume, multi-site deployments with dedicated support.
Embed our analytics into your transformer monitoring systems. White-label solutions available for manufacturers and system integrators.
Join leading utilities and industrial facilities that trust Pradjna for predictive transformer monitoring.