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Transfer Learning in Predictive Maintenance by hatir.guu is a document available to read on EtoBox.
What is Transfer Learning in Predictive Maintenance about?
This document presents a systematic literature review on the application of transfer learning for predictive maintenance in the context of Industry 4.0. It highlights the challenges faced by traditional machine learning methods in predictive maintenance, such as lack of training data and incompatible computation power, and discusses how transfer learning can address these issues. The review also introduces a taxonomy of transfer learning in predictive maintenance and outlines current advancements, challenge
- Author
- hatir.guu
- Language
- EN