Desalination Plant Use Case
Intake Pump Motor Current Root Cause Analysis
Identify overload risks and developing blockages before they escalate - by analyzing VFD motor current and correlating it with process telemetry like flow, temperature, and vibration.
Data Input
Analytics Findings: 1501_VFD601_CURRENT
AI-ranked root causes of intake pump current variation with explanation and recommended action
Temperature swings force the drive to work harder. This can indicate actual process density/viscosity changes, or sensor placement/control loop issues indirectly driving speed/flow.
Verify temperature sensor calibration and tighten temperature control loops to reduce oscillation.
Commanded speed and flow signals strongly tie to current. Higher than expected current for a given flow indicates hydraulic restrictions like partially closed valves or fouled intake screens.
Review speed schedule, optimize flow setpoints, and check for physical hydraulic restrictions.
Interaction between multiple units can cause one pump to operate far from its efficient region while another compensates, appearing as increased electrical load.
Coordinate control between units (lead/lag logic) to balance header pressure and flow control.
Elevated vibration readings indicate mechanical friction which increases current draw, reduces efficiency, and precedes equipment failure.
Validate vibration readings and perform alignment or bearing checks if elevated.
Analysis Context: The AI model confirms that motor current is a highly reliable, direct indicator of how hard the intake pump motor is working, accurately predicting behavior across normal operating ranges.
Expected Results
Pump Energy Consumption
10–20% reduction
Lower electricity cost per cubic meter of water produced
Unplanned Pump Downtime
−15–25%
Early detection of blockage or mechanical drag before failure
Pump & Bearing Lifespan
+15–30%
Reduced maintenance costs and fewer emergency part replacements
Water Production Loss
−10–20%
Fewer unplanned shutdowns impacting daily output capacity
By understanding the exact drivers of pump current, operators can prioritize maintenance checks when current rises without a matching change in speed, flow, or temperature.
Monitored KPIs
Business Outcome
Unplanned downtime of a primary intake pump can significantly reduce a desalination plant's daily water production capacity. By utilizing AI to continuously monitor VFD motor current against expected behavior, operators can detect fouled intake screens, mechanical drag, and inefficient control loops early. This prevents catastrophic failures and ensures optimal energy consumption per cubic meter of water produced.
Data Privacy: Built for Critical Infrastructure
On-Premises / Edge Deployment
All inference runs locally. No critical infrastructure data leaves the facility.
No Cloud Dependency
Fully air-gapped operation possible. Analytics continue even without internet.
Zero Data Sharing
Flow rates, power consumption, and equipment health data are never transmitted externally.
Works with Existing SCADA
Connects directly to existing historian or SCADA systems. No new sensors required.
Your operational data stays in your plant. Full data sovereignty with AI-powered equipment health monitoring.
"A pump's electrical current tells the full story of its health.
We make sure you hear it before failure occurs."