TY - JOUR
TI - Failures prediction based on performance monitoring of a gas turbine: a binary classification approach
AU - Mulewicz, Bartłomiej
AU - Marzec, Mateusz
AU - Morkisz, Paweł
AU - Oprocha, Piotr
TI - Failures prediction based on performance monitoring of a gas turbine: a binary classification approach
AB - 
	This paper is dedicated to employ novel technique of deep learning for machines failures prediction. General idea of how to transform sensor data into suitable data set for prediction is presented. Then, neural network architecture that is very successful in solving such problems is derived. Finally, we present a case study for real industrial data of a gas turbine, including results of the experiments.
VL - 2017
IS - Volume 26
PY - 2018
SN - 1732-3916
C1 - 2083-8476
SP - 9
EP - 21
DO - 10.4467/20838476SI.17.002.7246
UR - https://ejournals.eu/en/journal/schedae-informaticae/article/failures-prediction-based-on-performance-monitoring-of-a-gas-turbine-a-binary-classification-approach
KW - Predictive Maintenance
KW - Deep Learning
KW - binary classification
KW - convolutional neural network