How industry leaders use real-time monitoring to prevent downtime before it happens
Combine monitoring, expert interpretation, and service agreements to deliver reliable power.
ABB Transformer Condition Monitoring (TRAFCOM) delivers real-time asset visibility, early fault detection, and predictive maintenance to reduce downtime, extend transformer life, and improve reliability in critical operations.
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In healthcare, power reliability is not an efficiency metric—it is a safety requirement. Yet visibility between inspections remained limited, creating operational uncertainty.
What Changed
With ABB Transformer Condition Monitoring - TRAFCOM, the hospital gained 24/7 transformer visibility. With expert interpretation and service structure, signals are no longer missed—they are understood and acted on.
The Result
Continuous awareness of transformer condition
Immediate detection of deviations
Structured response instead of reactive action
> Ensure uninterrupted power in critical environments. CONTACT US
Across an extensive underground pipeline network transporting flammable liquids, transformer stations are spread across multiple remote locations. Maintenance relied on scheduled inspections—leaving long periods where developing issues could go unnoticed.
ABB enabled continuous monitoring across distributed assets, combined with expert interpretation. Instead of isolated data points, teams now receive clear, actionable insights on asset condition.
Visibility across remote transformer stations
Early detection of internal anomalies
Reduced need for unnecessary site inspections
Lower risk of disruption in critical transport infrastructure
> Gain control over distributed infrastructure before issues escalate. CONTACT US
At a high-power steel production site in Barcelona, transformers support energy-intensive operations running at full capacity. Previous failures exposed how quickly downtime can disrupt production and increase costs.
ABB introduced continuous transformer monitoring with predictive insight, enabling early detection of anomalies. Signals that were once missed are now interpreted and acted on before escalation.
Early detection of performance deviations
Prevention of costly production interruptions
Smarter maintenance planning
Increased reliability in high-demand operations
> Prevent downtime in high-power industrial operations. CONTACT US
At a combined cycle power plant in Lodi, continuous energy production depends on reliable transformer performance. Reactive maintenance made it difficult to anticipate failures—leading to risk, inefficiencies, and cost variability.
ABB implemented TRAFCOM monitoring with structured service support, enabling predictive maintenance based on real-time condition data.
Early identification of degradation trends
Anticipation of failures before occurrence
Up to 30% reduction in maintenance costs
Greater control over plant operations
> Move from reactive to predictive maintenance in power generation. CONTACT US
With ABB Transformer Condition Monitoring – TRAFCOM, the operator achieved continuous monitoring of oil-filled transformers.Instead of relying on scheduled checks, asset condition is now tracked in real time, enabling early identification of developing faults.
Continuous visibility into transformer health
Early detection of insulation and oil-related degradation
Reduced risk of unexpected failures
Improved maintenance planning and asset reliability
> Ensure reliability of critical transformer assets with continuous monitoring. CONTACT US
ABB enabled continuous condition monitoring for dry-type transformers, combined with expert analysis.Instead of isolated data points, teams now receive clear, actionable insights into transformer performance.
Real-time awareness of transformer condition
Immediate detection of anomalies
Reduced operational risk in critical production processes
More proactive and structured maintenance approach
> Maintain uninterrupted operations in critical environments. CONTACT US
With ABB Transformer Condition Monitoring – TRAFCOM, Neve gained real-time visibility into transformer condition. Predictive insights and structured monitoring ensure early signals are detected, understood and acted on, even in extreme cold.
Continuous insight into transformer health
Early detection of anomalies before failures occur
More reliable heat and power with condition-based maintenance
> Ensure reliable power and heat, even in Arctic conditions. CONTACT US