Learn how utilizing SAIM data trends helped detect faulty equipment and aided with critical decision making.
The operator of the fuel storage facility of a major international airport relies on radar gauges on the fuel tanks to measure fuel level. SAIM collects and archives the fluid level data from these gauges in real-time. Using the live dashboards, SAIM support staff reviewed the historical data and noticed sudden, unusual spikes in fluid level values. They knew it was impossible for a tank to fill up so quickly.
SAIM is critical for equipment health monitoring, or assets fitness-for-service. In this case, the operator had solid evidence and historical data to engage with the radar manufacturer and request repair of the gauge per warranty.
The process led to upgrading all radars across the tank farm as well as regular maintenance by the manufacturer. SAIM confirmed the levels were accurate and no further anomalies have been detected.