Predictive Maintenance
Gain full visibility into the health of your assets and avoid unexpected failures with cutting-edge predictive analytics.
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Pada sektor Energi, Manufaktur, & Public Utilities, data adalah kunci. Namun, seringkali ada celah signifikan yang menghambat optimalisasi operasional.
of operational time is lost due to unexpected breakdowns.
for asset failure: lack of visibility, data silos, reactive maintenance.
increase in operational costs due to emergency repairs.
Modern industrial operations generate vast amounts of data, yet traditional maintenance approaches struggle to leverage this for true foresight.
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Our advanced analytics solution transforms raw operational data into actionable intelligence, empowering proactive maintenance and operational excellence.
Holistic Asset Health Monitoring
Integrate data from all sources (sensors, SCADA, ERP, CMMS) to create a comprehensive, real-time digital twin of each asset's health and performance.
Early & Accurate Failure Prediction
Employ AI/ML models to analyze complex patterns and detect subtle anomalies, predicting potential equipment failures days or weeks in advance with high accuracy.
Optimized Maintenance Strategies
Shift from time-based or reactive maintenance to condition-based, predictive maintenance, optimizing schedules, extending asset lifespan, and reducing operational costs.
By understanding data patterns and the relationships between assets, you can identify potential issues before they occur and take the right preventive actions.
Start mapping what matters with Peruri Graph.
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