Client Overview
A mid-sized manufacturing company specializing in chemical processing and fluid handling systems across Southeast Asia.
About the Company
With decades of experience, the client operates multiple facilities where fluid transfer reliability is critical. The company depends heavily on NEMO Progressing Cavity Pumps for metering and transfer applications involving corrosive and abrasive fluids. Frequent pump failures and unplanned maintenance cycles disrupted productivity and increased operational costs.
Key Challenges
Unexpected pump breakdowns due to seal wear, dry-run conditions, and cavitation
Inability to capture early degradation signals from running equipment
Limited visibility into asset health across decentralized locations
Rising maintenance costs and spare part inventory
Our Xpump Solutions
We deployed AI xPump, a smart monitoring platform designed to enable predictive analytics on rotary equipment like NEMO® PCPs. The implementation included:
Sensor-Driven Monitoring
Enabling Real-Time Vibration, Temperature & Pressure Insights with IIoT
AI-Powered Analytics
Unlocking Predictive Intelligence from Historical Failure Patterns
Automated Condition Alerts
Detecting Torque Spikes & Seal Failures Before Downtime Strikes
Role-Based Dashboards
Delivering Actionable Insights to Reliability, Ops & Maintenance Teams
Cloud-Edge Scalability
Secure, Flexible Deployment Across Multi-Site Manufacturing Networks
Tech Stack
- xPump AI Engine (built on TensorFlow and Azure ML)
- OPC-UA & MQTT-based connectivity for PLC and sensor data ingestion
- Grafana-based visualization suite
- Microsoft Azure IoT Hub for edge/cloud sync
- RESTful APIs for ERP and CMMS integration
Business Impact
42% reduction
Data-driven maintenance planning
20% lower maintenance costs
Real-time visibility
Improved uptime
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