Ghorbani S. - list of publications

RUDN Journal of Engineering Researches. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 24. 2023. P. 279-287

COMPARISON OF SOME SELECTED TIME-DOMAIN FATIGUE FAILURE CRITERIA DEDICATED FOR MULTI INPUT RANDOM NON-PROPORTIONAL LOADING CONDITIONS IN INDUSTRIAL COMPONENTS

Article

Reza Kashyzadeh K., Ghorbani S.

Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD. Vol. 143. 2023. 106907 p.

APPLICATION OF EXPERIMENTAL DATA BASED ON TAGUCHI APPROACH TO OPTIMIZE MACHINING PARAMETERS OF AL6061-T6 TO REDUCE CUTTING FORCES AND MOMENTS

Article

Reza Kashyzadeh Kazem, Ghorbani Siamak, Malkova M.Y.

RUDN Journal of Engineering Researches. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 24. 2023. P. 279-287

INDUSTRIAL VIBRATION DETECTION TECHNIQUES FOR ENHANCED MONITORING AND MAINTENANCE OF COMBINED CYCLE POWER PLANTS

Article

Al-Tekreeti W.K., Reza K.K., Ghorbani Siamak

ENGINEERING SYSTEMS - 2023. Российский университет дружбы народов им. Патриса Лумумбы. 2023. P. 167-178

EFFECTIVE PARAMETERS OF SHOT PEENING TREATMENT ON IMPROVING THE DURABILITY OF INDUSTRIAL PRODUCTS MADE OF METALLIC MATERIALS

Article

Polunin V.V., Ghorbani Siamak, Reza K.K.

ENGINEERING SYSTEMS - 2023. Российский университет дружбы народов им. Патриса Лумумбы. 2023. P. 155-166

COMMON FAILURES IN HYDRAULIC KAPLAN TURBINE BLADES AND PRACTICAL SOLUTIONS

Article

Khalid Mohammed Ridha Waleed, Reza Kashyzadeh Kazem, Ghorbani Siamak

Materials. MDPI AG. Vol. 16. 2023. 3303 p.

NEW NEURAL NETWORK-BASED ALGORITHM FOR PREDICTING FATIGUE LIFE OF ALUMINUM ALLOYS IN TERMS OF MACHINING PARAMETERS

Article

Reza Kashyzadeh K., Ghorbani S.

Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD. Vol. 146. 2023. 107128 p.

PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING A BACK-PROPAGATION NEURAL NETWORK OPTIMIZED BY A GENETIC ALGORITHM AND RESPONSE SURFACE ANALYSIS CONSIDERING THE APPEARANCE OF AGGREGATES AND CURING CONDITIONS

Article

Reza Kashyzadeh Kazem, Amiri Nima, Ghorbani Siamak, Souri Kambiz

Buildings. MDPI Multidisciplinary Digital Publishing Institute. Vol. 12. 2022. 438 p.

OPTIMIZATION OF THE STRUCTURE OF TURBINE BLADES PRODUCED BY METHODS OF ADDITIVE TECHNOLOGIES

Article

Eroshenko Vladislav O., Malkova Marianna Yu., Zadiranov Alexander N., Meshcheryakov Alexey V., Ghorbani Siamak

RUDN Journal of Engineering Researches. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 4. 2022. 302–310 p.

Горбани Сиамак

List of records

ADVANCEMENTS IN GAS TURBINE FAULT DETECTION: A MACHINE LEARNING APPROACH BASED ON THE TEMPORAL CONVOLUTIONAL NETWORK–AUTOENCODER MODEL

FAULT DETECTION IN THE GAS TURBINE OF THE KIRKUK POWER PLANT: AN ANOMALY DETECTION APPROACH USING DLSTM-AUTOENCODER

ENHANCED AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR ANOMALY DETECTION IN POWER PLANT OPERATIONS

INFLUENCE OF SEDIMENT PARTICLE SIZE ON EROSION RATE OF AISI 304 STAINLESS STEEL

INDUSTRIAL TECHNIQUES OF CORROSION PREVENTION IN ALUMINUM ALLOYS

QUALITY ANALYSIS OF NATURAL GAS USING THE STRUCTURAL RELIABILITY OF AN ANALYTICAL INFORMATION SYSTEM

APPLICATION OF EXPERIMENTAL DATA BASED ON TAGUCHI APPROACH TO OPTIMIZE MACHINING PARAMETERS OF AL6061T6 TO REDUCE CUTTING FORCES AND MOMENTS

COMPARISON OF SOME SELECTED TIME-DOMAIN FATIGUE FAILURE CRITERIA DEDICATED FOR MULTI INPUT RANDOM NON-PROPORTIONAL LOADING CONDITIONS IN INDUSTRIAL COMPONENTS

APPLICATION OF EXPERIMENTAL DATA BASED ON TAGUCHI APPROACH TO OPTIMIZE MACHINING PARAMETERS OF AL6061-T6 TO REDUCE CUTTING FORCES AND MOMENTS

INDUSTRIAL VIBRATION DETECTION TECHNIQUES FOR ENHANCED MONITORING AND MAINTENANCE OF COMBINED CYCLE POWER PLANTS

EFFECTIVE PARAMETERS OF SHOT PEENING TREATMENT ON IMPROVING THE DURABILITY OF INDUSTRIAL PRODUCTS MADE OF METALLIC MATERIALS

COMMON FAILURES IN HYDRAULIC KAPLAN TURBINE BLADES AND PRACTICAL SOLUTIONS

NEW NEURAL NETWORK-BASED ALGORITHM FOR PREDICTING FATIGUE LIFE OF ALUMINUM ALLOYS IN TERMS OF MACHINING PARAMETERS

PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING A BACK-PROPAGATION NEURAL NETWORK OPTIMIZED BY A GENETIC ALGORITHM AND RESPONSE SURFACE ANALYSIS CONSIDERING THE APPEARANCE OF AGGREGATES AND CURING CONDITIONS

OPTIMIZATION OF THE STRUCTURE OF TURBINE BLADES PRODUCED BY METHODS OF ADDITIVE TECHNOLOGIES

Other authors

Konovalov M.

Yusupov A.A.