
Transformer Online Monitoring Solution
A configurable sensor-to-SCADA approach for continuous transformer condition data, alarms and engineering review.
Start with the transformer risk and maintenance decision, then define sensors, acquisition, alarms, communications and confirmation methods as one monitoring chain.

A configurable sensor-to-SCADA approach for continuous transformer condition data, alarms and engineering review.

Measure transformer winding temperature with fiber optic probes, RTDs, indicators and project-configured monitoring instruments.

Direct transformer winding hot spot measurement using dielectric fiber optic probes and multi-channel temperature monitors.

Combine UHF, ultrasonic and HFCT sensing with synchronized acquisition, PRPD patterns and persistent transformer PD alarms.

Online transformer dissolved gas analysis for fault-gas trends, rate-of-change alarms and condition-based oil sampling.

Coordinate transformer oil temperature, level, pressure and moisture-related measurements for early operating-condition awareness.

Online transformer bushing condition monitoring using suitable tap sensors, leakage-current measurement and comparative trend analysis.

Monitor OLTC drive motor current, vibration, timing, operation count and compartment temperature for maintenance planning.

Integrate thermal, oil, electrical, bushing, OLTC and communication layers around one transformer risk and maintenance strategy.

Combine transformer condition indicators, operating context and maintenance history into a defensible asset-health review process.

Design transformer fault detection around credible symptoms, persistent alarms, corroborating measurements and defined response actions.

Connect transformer monitoring instruments to SCADA with deliberate protocol, tag, alarm, timing and data-ownership design.

Monitor transformer fans, pumps, oil and winding temperature to identify abnormal cooling response and coordinate control stages.

Use transformer condition trends, operating context and maintenance history to prioritize evidence-based maintenance actions.