@inproceedings{13a672af36774f3c8c0cf6af2936f9fc,
title = "Fault diagnosis of a corrugator cut-off using neural network classifier",
abstract = "In this paper a proposal for solving the problem of diagnostics of cutting errors in a rotary cutoff in a corrugated board machine processing line is presented. There are many different reasons for errors, and their identification requires a sound knowledge and experience of the service staff. The authors, using their many years{\textquoteright} experience and a huge database, have found that many sources of errors can be characterized using a probability density function (pdf). They proposed a diagnostics method based on classification of sources of disturbances using the analysis of pdf determined with a kernel density estimator. Multilayer feedforward neural network is proposed as a classifier. Classification procedure is discussed, together with research results based on data from real industrial processes.",
keywords = "Corrugated board, Cut-off, Kernel density estimation, Neural network, Pattern classification",
author = "Jerzy Kasprzyk and Musielak, \{Stanis{\l}Aw K.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; International Conference on Systems Science, ICSS 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
year = "2014",
doi = "10.1007/978-3-319-01857-7\_35",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "365--374",
editor = "Jerzy {\'S}wi{\c a}tek and Adam Grzech and Pawe{\l} {\'S}wi{\c a}tek and Tomczak, \{Jakub M.\} and Jerzy {\'S}wi{\c a}tek",
booktitle = "Advances in Systems Science - Proceedings of the International Conference on Systems Science, ICSS 2013",
address = "Germany",
}