TY - GEN
T1 - Intelligent fault detection and diagnosis of a rotary cutoff in a corrugator
AU - Kasprzyk, Jerzy
AU - Musielak, Stanislaw K.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/29
Y1 - 2015/9/29
N2 - In this paper an artificial intelligence based framework for fault detection and diagnosis to support supervision of the cardboard production is presented. Cutting accuracy significantly affects the quality of the product and because there are many different causes of errors, their identification requires a sound knowledge and experience of the service staff. The authors observed that the sources of errors can be characterized by a probability density function (pdf) of these errors. Therefore, they proposed a diagnostic method based on classification of sources of disturbances via the analysis of pdf calculated by a kernel density estimator. The multilayer perceptron is proposed as a classifier. Classification procedure is discussed with emphasis on generalization properties of the classifier. The application for data acquired from a real industrial process is presented.
AB - In this paper an artificial intelligence based framework for fault detection and diagnosis to support supervision of the cardboard production is presented. Cutting accuracy significantly affects the quality of the product and because there are many different causes of errors, their identification requires a sound knowledge and experience of the service staff. The authors observed that the sources of errors can be characterized by a probability density function (pdf) of these errors. Therefore, they proposed a diagnostic method based on classification of sources of disturbances via the analysis of pdf calculated by a kernel density estimator. The multilayer perceptron is proposed as a classifier. Classification procedure is discussed with emphasis on generalization properties of the classifier. The application for data acquired from a real industrial process is presented.
KW - corrugated board machine
KW - diagnostics
KW - fault detection
KW - neural network classifier
KW - rotary cutoff
KW - statistical kernel estimators
UR - https://www.scopus.com/pages/publications/84964447123
U2 - 10.1109/MMAR.2015.7284018
DO - 10.1109/MMAR.2015.7284018
M3 - Conference contribution
AN - SCOPUS:84964447123
T3 - 2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
SP - 1016
EP - 1021
BT - 2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
Y2 - 24 August 2015 through 27 August 2015
ER -