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What is LLMs for Predictive Maintenance in Tanning about?

This paper presents a novel framework utilizing Large Language Models (LLMs) for predictive maintenance in the leather tanning industry, specifically focusing on compressor monitoring. The study demonstrates that LLMs can significantly enhance anomaly detection accuracy and operational cost-effectiveness, achieving a recall of 92.3% and an AUC-ROC of 0.991, while reducing operational costs by 18%. The findings underscore the potential of LLMs to integrate multimodal data and improve decision-making in compl

Author

sayonhowlader921523

Language

EN