@inproceedings{7b7fb2d729244cf6ae77fb27e880dd02,
title = "Instability detection on a radial turning process for superalloys",
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.",
keywords = "Fault detection, Instability detection, MADN, PCA, Radial turning",
author = "Cortadi, {Alberto Jimenez} and Fernando Boto and Itziar Irigoien and Basilio Sierra and Alfredo Suarez",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 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 ; Conference date: 06-09-2017 Through 08-09-2017",
year = "2018",
doi = "10.1007/978-3-319-67180-2_24",
language = "English",
isbn = "9783319671796",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "247--255",
editor = "{Perez Garcia}, Hilde and Javier Alfonso-Cendon and {Sanchez Gonzalez}, Lidia and Emilio Corchado and Hector Quintian",
booktitle = "International Joint Conference SOCO{\textquoteright}17- CISIS{\textquoteright}17-ICEUTE{\textquoteright}17, Proceedings",
address = "Germany",
}