ADVANCEMENTS IN GAS TURBINE FAULT DETECTION: A MACHINE LEARNING APPROACH BASED ON THE TEMPORAL CONVOLUTIONAL NETWORK-AUTOENCODER MODEL СтатьяFahmi A.WK., Kashyzadeh K.R., Ghorbani S.APPLIED SCIENCES-BASEL. Том 14. 2024.
NOVEL GA-BASED DNN ARCHITECTURE FOR IDENTIFYING THE FAILURE MODE WITH HIGH ACCURACY AND ANALYZING ITS EFFECTS ON THE SYSTEM СтатьяRezaeian N., Gurina R., Saltykova O.A., Hezla L., Nohurov M., Kashyzadeh K.R.APPLIED SCIENCES-BASEL. Том 14. 2024.
FAULT DETECTION IN THE GAS TURBINE OF THE KIRKUK POWER PLANT: AN ANOMALY DETECTION APPROACH USING DLSTM-AUTOENCODER СтатьяFahmi A.WK., Kashyzadeh K.R., Ghorbani S.Engineering Failure Analysis. Том 160. 2024.
