It’s a system that tracks oil properties (moisture, gases, temperature) in real time. While GlobeCore focuses on purification, their machines can be paired with third-party monitoring tools to provide a complete oil health ecosystem.

In addition to tracking the basic parameters like moisture, gases, and temperature, what often makes the dedicated transformer oil monitoring systems stand out is their ability to identify emerging trends and early warning signs before these develop into serious faults. For example, changes in dissolved gas ratios or sudden increases in oil moisture under load can serve as subtle indications of developing issues, such as partial discharge or overheating. When monitoring is integrated with alarm thresholds and historical trend analysis, maintenance teams can plan targeted interventions instead of reacting to failures after they occur. It’s also worth considering how these systems can supplement regular maintenance practices. While periodic oil purification and sampling are still essential, continuous monitoring provides contextual data that help you determine when maintenance is truly required and what type of maintenance is appropriate. This can shorten downtime and optimize servicing schedules.
For more information on how a modern transformer status monitoring system works, including the features that improve operational visibility and support proactive maintenance, I recommend reading this article at the following link: https://globecore.com/oil-testing/tor-4-transformer-status-monitoring-system/.

Thanks for the explanations.
In real operation, how reliable are these monitoring systems in preventing transformer failures?
Have you seen cases where the system detected a problem early enough to avoid major damage?

In field practice, online transformer oil monitoring systems are a very effective early-warning layer when they are properly specified, commissioned and acted upon. Continuous, minute-by-minute measurements of oil temperature, water content, ambient conditions and a high-precision hydrogen sensor let you see trends and subtle deviations long before a single off‑limit reading appears. Systems that combine trend analysis with alarm thresholds and linked oil‑processing (drying/filtration) can automatically or quickly trigger corrective action, which materially reduces the probability of catastrophic failure, extends service life and cuts maintenance costs compared with purely periodic sampling.

That said, they are not a silver bullet. Reliability in preventing failures depends on sensor calibration, data communications, correct alarm settings, operator workflows and complementary diagnostics (periodic lab DGA, insulation testing, visual inspections). False positives and sensor drift do occur, and some mechanical or external faults won’t be caught by oil parameters alone. In practice — for example in traction‑transformer applications and other reported field cases — continuous monitoring has detected rising hydrogen and moisture trends early, led to timely oil purification and intervention, and averted escalation to major damage. To maximize reliability, validate sensors on commissioning, cross‑check with laboratory tests, tune thresholds to your asset and load profile, and tie alarms into a clear maintenance decision workflow.