Authors : Dmitry Aleksandrovich Akimov, Aleksandr Sergeyevich Ignatov, Andrey Vladimirovich Ostroukh, Sergey Aleksandrovich Pavelyev and Tatiana Grigorievna Tsunikova
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.
Dmitry Aleksandrovich Akimov, Aleksandr Sergeyevich Ignatov, Andrey Vladimirovich Ostroukh, Sergey Aleksandrovich Pavelyev and Tatiana Grigorievna Tsunikova, 2018. Modeling of Temporal Stability to Critical States for Predicting Operational Safety of Turbogenerators. International Journal of Signal System Control and Engineering Application, 11: 13-19.