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About Manufacturing Letters: Daniel Frank Hesser, Bernd Markert
This document summarizes a study on retrofitting an older CNC milling machine to monitor tool wear using artificial neural networks. The researchers equipped the machine with a sensor platform containing an accelerometer. Acceleration data was collected from the machine during milling with both new and worn tools. Features were extracted from the raw signal and used to train an artificial neural network to classify the tool state. The study demonstrated the feasibility of retrofitting older machines to enable tool condition monitoring without requiring reengineering, supporting Industry 4.0 goals.
Detailed Information
| Author: | ['Gijvf Gbjj'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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