SparkCognition
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Predictive Maintenance Using Normal Behavior Modeling

Published by SparkCognition

This whitepaper provides an in-depth look at Normal Behavior Modeling (NBM), an AI-powered technique that enhances predictive maintenance by continuously monitoring equipment and processes. NBM identifies anomalies in real time by analyzing sensor data and learning what constitutes "normal" behavior for a system. It enables proactive maintenance, preventing failures before they occur, and reducing downtime and operational costs. Applicable across various industries, NBM is especially effective for complex systems, offering businesses a way to extend equipment lifespans, optimize performance, and improve overall efficiency.

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Related Categories Intrusion prevention, Inventory Management, Predictive Maintenance, Logistics Optimization, Quality Control, Supply Chain Visibility, Manufacturing Analytics, Energy Storage, Energy Analytics, Energy Management Systems, Predictive Maintenance, Grid Pptimisation, Energy Efficiency