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Long PFE 9 by java script is a document available to read on EtoBox.

This report discusses the integration of artificial intelligence in vibration-based condition monitoring for predictive maintenance of gearboxes. It highlights the effectiveness of vibration analysis in detecting faults and describes a methodology involving data acquisition and AI model development. The results indicate that AI-driven monitoring can enhance maintenance planning by identifying degradation trends.

Author

java script

Language

EN