Monitoring grinding wheel redress-life using support vector machines
- 159 Downloads
Condition monitoring is a very important aspect in automated manufacturing processes. Any malfunction of a machining process will deteriorate production quality and efficiency. This paper presents an application of support vector machines in grinding process monitoring. The paper starts with an overview of grinding behaviour. Grinding force is analysed through a Short Time Fourier Transform (STFT) to identify features for condition monitoring. The Support Vector Machine (SVM) methodology is introduced as a powerful tool for the classification of different wheel wear situations. After training with available signal data, the SVM is able to identify the state of a grinding process. The requirement and strategy for using SVM for grinding process monitoring is discussed, while the result of the example illustrates how effective SVMs can be in determining wheel redress-life.
KeywordsMonitoring grinding support vector machine
Unable to display preview. Download preview PDF.
- X. Chen, W. B. Rowe, Y. Li, B. Mills. Grinding Vibration Detection Using a Neural Network. the Journal of Engineering Manufacture, Proceedings of IMechE Part B, vol. 210, B4, 349–352, 1996.Google Scholar
- Cosimo Distante, Nicola Ancona, Pietro Siciliano. Support vector machines for olfactory signals recognition. Sensors and Actuators, vol. B, no. 88, pp. 30–39, 2003.Google Scholar
- Steve R. Gunn. Support Vector Machines for Classification and Regression. Technical Report, School of Electronics and Computer Science, Faculty of Engineering and Applied Science and Department of Electronics and Computer Science, 1998.Google Scholar
- S. Qian, D. Chen. Joint time-frequency analysis: methods and applications, Prentice Hall Inc, Upper Saddle River, NJ, 1996.Google Scholar
- K. Pelckman, J. A. K. Suykens, T. V. Gestel, J. D Brabanter, L. Lukas, B. Hamers, B. D. Moor, J. Vandewalle. A Matlab/c toolbox for least square support vector machines. ESAT-SCD-SISTA Technical Report 02-145. 2002.Google Scholar