AI Predictive Maintenance & Integrity


Objective


Predict failures of pumps, compressors, and wells to cut unplanned downtime and extend asset life.

Methodology


Agile delivery: failure-mode discovery, feature engineering on sensor, SCADA & maintenance data, model training, and back-testing.

Architecture


Cloud + edge stack unifying IoT, SCADA & CMMS data, a feature store, ML anomaly and RUL models, and reliability dashboards.

Solution


An automated platform delivering equipment health scores, failure prediction, remaining-useful-life, and maintenance scheduling.

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