Scientific and technical journal
«Automation and Informatization of the fuel and energy complex»
ISSN 0132-2222
 
                        № 11(616), November 2024
MEASURING, AUTOMATION, TELEMECHANIZATION AND COMMUNICATION FACILITIES
                                        An approach to the development of a domestic explosion-proof eddy-current encoder with an angle-to-code converter of the servo type for the oil and gas industry, the chemical industry and the energy sector
                                        
                                    
                                    5-15
                                
                                                                                                                                                                                                                                                                                                                                                                                                                                                                            INFORMATION, MEASURING, EXPERT, TRAINING SYSTEMS
                                        Intelligent decision-making support system architecture for oil production enterprises
                                        
                                    
                                    16-26
                                
                                                                                                                
                                    
                                        Determination of information data reliability obtained from process facility sensors
                                        
                                    
                                    27-42
                                
                                                                                                                
                                    
                                        Comparative analysis of autonomous power sources of linear consumers of main gas pipelines by the method of expert assessment
                                        
                                    
                                    43-52
                                
                                                                                                                                                                                                                                                                                                                MATHEMATICAL MODELING AND SOFTWARE
                                        Building of an upper level aggregation model for simulation calculations of non-stationary operational modes of the gas transportation system of the Unified Gas Supply System
                                        
                                    
                                    53-61
                                
                                                                                                                
                                    
                                        Markov model of multi-criteria assessment and optimization of reliability and risks in self-synchronization of critical components of IT-project of network-centric enterprise management systems. Part 1
                                        
                                    
                                    62-74
                                
                                                                                                                
                                    
                                        Specific features of data analysis when building a model for predicting the volume of the final product output in chemical production
                                        
                                    
                                    75-82
                                
                                                                                                                
                                    
                                        Segmentation of tectonic faults planes by self-supervised learning methods
                                        
                                    
                                    83-89