Dmitry Aleksandrovich  Akimov, Aleksandr Sergeyevich  Ignatov, Andrey Vladimirovich  Ostroukh, Sergey Aleksandrovich  Pavelyev, Tatiana Grigorievna  Tsunikova, 
    Modeling of Temporal Stability to Critical States for
Predicting Operational Safety of Turbogenerators,
    International Journal of System Signal Control and Engineering Application,
    Volume 11,Issue 1,
    2018,
    Pages 13-19,
    ISSN 1997-5422,
    ijssceapp.2018.13.19,
    (https://makhillpublications.co/view-article.php?doi=ijssceapp.2018.13.19)
    Abstract: 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.
    Keywords: Forecasting;adaptive reaction;safety of industrial objects;critical condition;reaction modeling;temporal stability