Instability detection on a radial turning process for superalloys

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URI: https://hdl.handle.net/11556/1938
ISSN: 2194-5357
ISBN: 9783319671796
DOI: 10.1007/978-3-319-67180-2_24
Publication date
2018
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Springer Verlag
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Abstract
Two different models for instability detection in a radial turning process are proposed in order to prevent fault appearance. This methods allows to detect instability on this machining process based on the forces. Median Absolute Deviation Normalized (MADN) and Principal Component Analysis (PCA) are the statistical methods used to classify those tests. The results have showed that the models are close to expert classification of the tests stability.
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Publisher Copyright: © 2018, Springer International Publishing AG.
Keywords
Fault detection , Instability detection , MADN , PCA , Radial turning , Control and Systems Engineering , General Computer Science
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conference output
Citation
Cortadi , A J , Boto , F , Irigoien , I , Sierra , B & Suarez , A 2018 , Instability detection on a radial turning process for superalloys . in H Perez Garcia , J Alfonso-Cendon , L Sanchez Gonzalez , E Corchado & H Quintian (eds) , International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings . Advances in Intelligent Systems and Computing , vol. 649 , Springer Verlag , pp. 247-255 , International Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017 , Leon , Spain , 6/09/17 . https://doi.org/10.1007/978-3-319-67180-2_24
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