Traditional oil analysis programs have long supported preventive maintenance by assessing lubricant health and detecting early signs of machinery wear. However, these programs often fall short in delivering real-time insights, actionable intelligence, and scalable diagnostics across equipment fleets. LubeAI redefines this paradigm by integrating classic methodologies with advanced Artificial Intelligence (AI), Machine Learning (ML), and Business Intelligence (BI) visualization, providing a robust decision-making platform.

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Condition-based maintenance relies on accurate, timely lubricant analysis to identify anomalies before they evolve into failures. LubeAI introduces a comprehensive model that enhances traditional oil monitoring workflows with intelligent, data-driven insights presented through Power BI dashboards. This white paper outlines the system architecture, methodology, and benefits of the LubeAI platform.