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AI Predictive Maintenance for Waste Heat Recovery by csthomas is a document available to read on EtoBox.

What is AI Predictive Maintenance for Waste Heat Recovery about?

The paper discusses an AI-based predictive maintenance model for waste heat recovery systems (WHRS) to enhance efficiency and reduce maintenance costs. It focuses on predicting fouling thickness and performance degradation by analyzing critical parameters, allowing for proactive maintenance scheduling. The model aims to optimize maintenance frequency and minimize downtime by providing real-time monitoring and insights into system performance.

Author

csthomas

Language

EN