TY  - JOUR
T1  - Modeling of Temporal Stability to Critical States for
Predicting Operational Safety of Turbogenerators
AU - Akimov, Dmitry Aleksandrovich AU - Ignatov, Aleksandr Sergeyevich AU - Ostroukh, Andrey Vladimirovich AU - Pavelyev, Sergey Aleksandrovich AU - Tsunikova, Tatiana Grigorievna 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 11
IS  - 1
SP  - 13
EP  - 19
PY  - 2018
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2018.13.19
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2018.13.19
KW  - Forecasting
KW  -adaptive reaction
KW  -safety of industrial objects
KW  -critical condition
KW  -reaction modeling
KW  -temporal stability
AB  - The study is devoted to the creation of a method for predicting the temporal stability under
conditions of dynamic and static effects during process of operation of a turbogenerator. The method is based
on the restoration modeling the operating mode of the turbogenerator under critical conditions; the model
assumes an adaptive response at the initial stage of the critical state recognition. The deep neural network
teaching technique whilst the classification of spectrogram anomalies is provided.
ER  -