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Smart Filtration Systems: AI and IoT for Predictive Maintenance

Time : Jun. 04, 2025
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Table of Contents

    IoT-Enabled Filtration Components

    1. Real-Time Sensors:

      • MEMS viscosity sensors detect fuel quality changes (e.g., cat fine spikes) 

      • Pressure differential monitors predict filter clogging with 92% accuracy 

    2. Digital Twins:

      • Simulate filter performance under extreme conditions (e.g., Arctic wax crystallization) 

    Case Study: SCR System Optimization

    • AI algorithms adjust urea injection based on filtered NOx levels, maintaining 95% conversion efficiency 

    • Predictive filters cut SCR downtime by 40% in LNG carriers 

    Economic Impact

    • Cost Savings: Predictive maintenance reduces unplanned downtime by 60%, saving $180K/vessel/year 

    • Carbon Footprint: Optimized filtration lowers fuel consumption by 8%, aligning with FuelEU Maritime 

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