About this document
Machine Learning in Vehicle Predictive Maintenance by Daniel Mesafint is a document available to read on EtoBox.
The document discusses the application of machine learning in predictive maintenance for vehicles, highlighting its shift from traditional maintenance to data-driven approaches. It presents various case studies and algorithms used in predictive maintenance, emphasizing the importance of real-time data collection and analysis for improving vehicle reliability and reducing costs. The paper aims to provide insights into new technologies and potential applications in the field, aiding researchers and developers
- Author
- Daniel Mesafint
- Language
- EN