The article discusses the task of identifying a neural network controller for the installation of rectification of oil refining production. A rectification process research model is used to evaluate ...the effectiveness of the controller. The control parameters of the rectification process that are used to identify the controller and evaluate its effectiveness are determined. In a numerical study, the possibility of using a neural network controller to control the rectification process is shown. As a basic option for a comparative study, we used a PID-regulator, which is the standard version in production today. The advantage of a neural network controller in controlling processes in the context of the implementation of various target trajectories is shown. The proposed model of a neural network controller can be adapted and used for computer control of the rectification process.
The article discusses the need to develop a diagnostic prognostic unit for certain types of technological equipment. Several well-known methods for predicting time series are considered: a method ...based on artificial neural couples, a method for analyzing a singular spectrum, an exponential smoothing method. A brief description of the methods under consideration is given. The parameters of the numerical study of the methods are described. The results of a numerical study are presented, the advantage of the neural network approach and the method of singular spectral analysis are shown.
The article discusses the problem of diagnosing technological compressor equipment. The typical causes of defects in screw compressors and the causes of their occurrence are considered. The choice of ...vibration diagnostics sensors to create a system of complex diagnostics of technological equipment is substantiated. The results of expert evaluation of vibration sensors are presented, which determine the most effective solution for the diagnostic system.
Currently, one of the most widely used and effective types of technological equipment is screw compressor equipment. Along with the fact, that such equipment has a number of advantages that determine ...its high efficiency, it is characterized by increased wear of important structural elements. This can lead to reduced compressor efficiencies and malfunctions that can result in emergencies. In this regard, the paper presents the results of developing a scheme for continuous monitoring of the technical condition of screw compressor units. Variants of installing vibration sensors that provide data collection of vibration diagnostics are determined. In order to automate the analysis of the collected data, it is proposed to use the method of data mining based on neural networks to recognize the technical condition. The results of testing the neural network data method of a real compressor unit are presented.
The problem of intellectualization of decision support during the operation of oil and gas well equipment is considered in the paper. It is proposed to implement an intelligent approach in the form ...of a multicomponent information system. Combining the subsystems of such an information system requires detailed study to integrate modern methods and algorithms for intelligent data processing. Based on the results of testing the methods on data sets from real operating field objects, data were obtained that testify to the possibility of using the considered approaches and the relatively high efficiency of the artificial neural network method and collective intelligent approach.
We studied the 12C(p,2p+n) reaction at beam momenta of 5.9, 8.0, and 9.0 GeV/c. For quasielastic (p,2p) events p(f), the momentum of the knocked-out proton before the reaction, was compared (event by ...event) with p(n), the coincident neutron momentum. For |p(n)|>k(F)=0.220 GeV/c (the Fermi momentum) a strong back-to-back directional correlation between p(f) and p(n) was observed, indicative of short-range n-p correlations. From p(n) and p(f) we constructed the distributions of c.m. and relative motion in the longitudinal direction for correlated pairs. We also determined that 49+/-13% of events with |p(f)|>k(F) had directionally correlated neutrons with |p(n)|>k(F).
The transparency of carbon for (p,2p) quasielastic events was measured at beam momenta ranging from 5.9 to 14.5 GeV/c at 90 degrees c.m. The four-momentum transfer squared (Q2) ranged from 4.7 to ...12.7 (GeV/c)(2). We present the observed beam momentum dependence of the ratio of the carbon to hydrogen cross sections. We also apply a model for the nuclear momentum distribution of carbon to obtain the nuclear transparency. We find a sharp rise in transparency as the beam momentum is increased to 9 GeV/c and a reduction to approximately the Glauber level at higher energies.
Twenty-five autopsy cases of influenza А (НШ1) in Moscow were analyzed. Primary pathological changes were found in the trachea and lung. The lung showed a pattern of the exudative and proliferative ...stages of diffuse alveolar damage. In addition, there were signs of infectious-toxic shock associated with viremia. Bacterial bronchopneumonia with confluent foci was detected in only 20% of the dead cases. Key words: influenza А (НШ1), diffuse alveolar damage.
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