Abstract
This paper investigates the use of the discrete wavelet transform (DWT) and Fast Fourier Transform (FFT) to improve the quality of extracted features for machine learning. The case study in this paper is detecting the health state of the
ballscrew of a gantry type machine tool. For the implementation of the algorithm for feature extraction, wavelet is first applied to the data, followed by FFT and then useful features are extracted from the resultant signal. The extracted features were then used in various machine learning algorithms like decision tree, K-nearest neighbour (KNN) and support vector machine (SVM) for binary classification of the ballscrew state. The result shows significant improvement in the classification
accuracy after the wavelet transform and FFT has been performed on the data.
ballscrew of a gantry type machine tool. For the implementation of the algorithm for feature extraction, wavelet is first applied to the data, followed by FFT and then useful features are extracted from the resultant signal. The extracted features were then used in various machine learning algorithms like decision tree, K-nearest neighbour (KNN) and support vector machine (SVM) for binary classification of the ballscrew state. The result shows significant improvement in the classification
accuracy after the wavelet transform and FFT has been performed on the data.
Original language | English |
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Title of host publication | Proceedings of the 18th International Conference in Manufacturing Research |
Subtitle of host publication | ICMR 2021 |
Editors | Mahmoud Shafik, Keith Case |
Publisher | IOS Press |
Pages | 402-407 |
Number of pages | 6 |
ISBN (Electronic) | 9781614994398 |
DOIs | |
Publication status | Published - 21 Aug 2021 |
Event | 18th International Conference on Manufacturing Research - University of Derby, Derby, United Kingdom Duration: 7 Sep 2021 → 10 Sep 2021 Conference number: 18 |
Publication series
Name | Advances in Manufacturing Technology |
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Publisher | IOS Press |
Volume | 15 |
Conference
Conference | 18th International Conference on Manufacturing Research |
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Abbreviated title | ICMR 2021 |
Country/Territory | United Kingdom |
City | Derby |
Period | 7/09/21 → 10/09/21 |