TY - GEN
T1 - Neural network based industrial processes monitoring
AU - Sánchez-Fernández, Luis P.
AU - Yáñez-Márquez, Cornelio
AU - Pogrebnyak, Oleksiy
PY - 2006
Y1 - 2006
N2 - This industrial processes monitoring based on a neural network presents low run-time, and it useful for critical time tasks with periodic processing, This method allows the time prediction in which a variable will arrive to abnormal or important values. The data of each variable are used to estimate the parameters of a continuous mathematical model. At this moment, four models are used: first-order or second-order in three types (critically damped, overdamped or underdamped). An optimization algorithm is used for estimating the model parameters for a dynamic response to step input function, because this is the most frequent disturbance. Before performing the estimation, the most appropriate model is determined by means of a feed-forward neural network.
AB - This industrial processes monitoring based on a neural network presents low run-time, and it useful for critical time tasks with periodic processing, This method allows the time prediction in which a variable will arrive to abnormal or important values. The data of each variable are used to estimate the parameters of a continuous mathematical model. At this moment, four models are used: first-order or second-order in three types (critically damped, overdamped or underdamped). An optimization algorithm is used for estimating the model parameters for a dynamic response to step input function, because this is the most frequent disturbance. Before performing the estimation, the most appropriate model is determined by means of a feed-forward neural network.
UR - http://www.scopus.com/inward/record.url?scp=33745886219&partnerID=8YFLogxK
U2 - 10.1007/11760191_136
DO - 10.1007/11760191_136
M3 - Contribución a la conferencia
SN - 3540344829
SN - 9783540344827
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 933
EP - 938
BT - Advances in Neural Networks - ISNN 2006
PB - Springer Verlag
T2 - 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
Y2 - 28 May 2006 through 1 June 2006
ER -