24/7 Switchyard Monitoring for Predictive Maintenance

Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets, ensuring early detection of thermal anomalies and potential equipment faults for enhanced reliability and predictive maintenance.

Trusted by leading global enterprises

Problem Statement

Minor thermal anomalies at switchyards can trigger outages, equipment damage, and operational disruption.

A leading steel manufacturer with large-scale operations across multiple production sites faced recurring issues in its switchyard. Temperature-related faults and delayed detection of hotspots frequently led to equipment damage, power disruptions, and unplanned downtime, impacting production efficiency and safety.

Overheating of switchyard components

Overheating of switchyard components such as CTs, PTs, and circuit breakers leads to equipment failure, power loss, and unplanned switchyard downtime, impacting overall plant reliability and operational efficiency

Undetected
hotspot

Undetected hotspots in switchyard equipment escalated into severe overheating, causing insulation damage, equipment failure, and costly downtime, highlighting the need for real-time thermal monitoring for reliability & safety.

Traditional
monitoring

Traditional monitoring systems relied on manual inspections and fluke guns to track temperature, but the process was prone to human error, delayed detection, and missed early signs of equipment overheating.

Missed
critical issues

Critical issues in switchyard equipment were often missed due to limited visibility and delayed manual checks, resulting in undetected faults, overheating, and unexpected equipment breakdowns.

Solution

Ripik AI deployed a Vision AI–powered Switchyard Monitoring System to deliver real-time thermal anomaly detection using advanced infrared and optical cameras

Specialized Hardware

The system integrated advanced infrared (IR) cameras capable of capturing precise thermal signatures for effective switchgear monitoring. These cameras detected even minor temperature variations, enabling early hotspot identification and ensuring proactive maintenance to prevent equipment overheating and failures.

24/7 Switchyard Monitoring

The Switchyard Monitoring System continuously tracked the thermal condition of critical components such as CTs, PTs, circuit breakers, and isolators. Through real-time thermal profiling and automated hotspot detection, it enabled early identification of temperature anomalies, preventing equipment failures and reducing unplanned downtime.

Real-time Alerts on Anomalous Patterns

The platform provided real-time alerts on anomalous temperature patterns detected across switchyard components. By identifying abnormal heat signatures early, it enabled prompt corrective actions, preventing potential failures and ensuring uninterrupted operations.

Historical video feeds & insightful report

The system offered access to historical video feeds and generated insightful reports for in-depth analysis of switchyard performance. These records helped maintenance teams identify recurring issues, track temperature trends, and make data-driven decisions for preventive maintenance.

Impact and Validation by End Users

Achieved 95% accuracy in hotspot detection across switchyard assets.

Using infrared and optical cameras, the system identified early-stage wear, deformation, and hotspots in switchyards with 95% detection accuracy, providing automated insights for predictive maintenance. With <100 ms inferencing time, the platform ensured highly reliable monitoring, further enhanced by continuous model retraining for improved accuracy over time.

10M$

Expected annual value generation

Over $10 million in annual value generation was achieved by transitioning from manual inspection and verbal reporting to an AI-powered real-time hotspot monitoring system, significantly enhancing accuracy, responsiveness, and overall operational efficiency.

70%

Reduction in temperature related failures

Achieved a 70% reduction in temperature-related failures through real-time monitoring of switchgear assets and instant hotspot alerts, enabling timely action against overheating and preventing costly breakdowns.

95%

Accuracy in hotspot detection

The AI-powered system delivered 95% accuracy in hotspot detection, precisely identifying temperature anomalies across switchyard components. This high accuracy minimized false alarms, ensured reliable monitoring, and enabled maintenance teams to act swiftly on genuine issues.

OUR success stories

Our role in driving
customer success

See how leading companies across steel, cement, oil & gas, energy, automotive, chemicals, pharmaceuticals, FMCG, and other industries are transforming their operations with Ripik AI’s Vision AI solutions—driving real-time insights, enhanced safety, and intelligent process optimizations across the industrial landscape