Application of the EEMD Algorithm for the Monitoring of the Cutting Tool wear

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Keywords:

Algorithm , EMD, EEMD, Monitoring, Cutting tool, Wear

Abstract

In this work, it is a question of a monitoring of cutting tool wear in mechanical turning. This monitoring is carried out in three phases which correspond to the life of the tool. To achieve this objective of improving the monitoring of the cutting tool, we have proposed the EEMD processing algorithm which decomposes a large signal into small signals (IMFs) by comparing it to the EMD algorithm, which is an algorithm used in the analysis of non-linear and non-stationary signals. The phenomenon of mode mixing is one of the major drawbacks of EMD. The EEMD eliminates the mode mixing effect. The EEMD principle is to add extra white noise to the signal with a certain number of tries.

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References

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Figure 4. Chain acquisition

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Published

2023-05-24

How to Cite

[1]
claude mukaz, “Application of the EEMD Algorithm for the Monitoring of the Cutting Tool wear”, International Journal of Engineering and Applied Physics, vol. 3, no. 2, pp. 743–755, May 2023.

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