Pub Date : 2022-01-01DOI: 10.36807/1998-9849-2022-61-87-73-79
Dmitrii A. Grigoriev, A. Musaev
The article considers the problem of stabilizing the value of the turbulent flow parameters described by the stochastic chaos model. As a basic control option, versions of channel strategies based on overrunning of current observations of the stabilized parameter from the range of acceptable values (channel) are considered. On the basis of numerical experiments, the potential possibilities of channel control strategies are investigated. It is shown that the main problem for achieving flow stability is the extremely high level of the variability of the system component of observation series, which is the realization of stochastic chaos. Versions of improved channel control strategies are given, the main directions for increasing the efficiency of functioning of channel stabilization technologies for turbulent flows are indicated
{"title":"STUDY OF THE EFFECTIVENESS OF CHANNEL CONTROL STRATEGIES IN THE PROBLEM OF STABILIZATION OF A TURBULENT HYDRODYNAMIC FLOW","authors":"Dmitrii A. Grigoriev, A. Musaev","doi":"10.36807/1998-9849-2022-61-87-73-79","DOIUrl":"https://doi.org/10.36807/1998-9849-2022-61-87-73-79","url":null,"abstract":"The article considers the problem of stabilizing the value of the turbulent flow parameters described by the stochastic chaos model. As a basic control option, versions of channel strategies based on overrunning of current observations of the stabilized parameter from the range of acceptable values (channel) are considered. On the basis of numerical experiments, the potential possibilities of channel control strategies are investigated. It is shown that the main problem for achieving flow stability is the extremely high level of the variability of the system component of observation series, which is the realization of stochastic chaos. Versions of improved channel control strategies are given, the main directions for increasing the efficiency of functioning of channel stabilization technologies for turbulent flows are indicated","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81266451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.36807/1998-9849-2022-63-89-93-99
Ekaterina N. Antonova
The paper considers a set of issues related to the construction and sequential algorithms use for detecting spontaneous changes in multidimensional time series probabilistic characteristics (disorder). The study is motivated by the mathematical support problems for decision-making processes based on data from large systems multi-channel monitoring and is devoted to the analysis of the measurements multidimensional time series spatio-temporal dynamics. As an alternative to traditional approaches, new technologies for analyzing inter-channel communications are proposed. Dimension reduction technologies are used based on the data matrices presentation in the first singular basis and multiple regression in the projection space. The considered approach can be applied for interventions early detection in computer networks. The developed approach application in the analyzing the characteristics problem of a turbulent flow based on the pressure deviations measurement data at various points in the volume is demonstrated.
{"title":"SEQUENTIAL ALGORITHM FOR DISORDER DETECTION IN MULTIVARIATE TIME SERIES","authors":"Ekaterina N. Antonova","doi":"10.36807/1998-9849-2022-63-89-93-99","DOIUrl":"https://doi.org/10.36807/1998-9849-2022-63-89-93-99","url":null,"abstract":"The paper considers a set of issues related to the construction and sequential algorithms use for detecting spontaneous changes in multidimensional time series probabilistic characteristics (disorder). The study is motivated by the mathematical support problems for decision-making processes based on data from large systems multi-channel monitoring and is devoted to the analysis of the measurements multidimensional time series spatio-temporal dynamics. As an alternative to traditional approaches, new technologies for analyzing inter-channel communications are proposed. Dimension reduction technologies are used based on the data matrices presentation in the first singular basis and multiple regression in the projection space. The considered approach can be applied for interventions early detection in computer networks. The developed approach application in the analyzing the characteristics problem of a turbulent flow based on the pressure deviations measurement data at various points in the volume is demonstrated.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84938537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2021-59-85-107-112
M. Dli, A. Puchkov, E. Lobaneva
A method for predicting the useful time of equipment based on the processing of diagnostic data using parallel recurrent and convolutional neural networks is proposed. Images for the convolutional network are formed on the basis of the wavelet transform of diagnostic data. Neural networks operate in a multivalued classification mode, which is used in the method to refine the prediction of the useful time of equipment based on the recursive least squares method. The results of a model experiment performed using a program developed in the MatLAB environment that implements the proposed method are presented.
{"title":"METHOD FOR ESTIMATING THE TIME OF USEFUL USE OF EQUIPMENT BASED ON NEURAL NETWORKS","authors":"M. Dli, A. Puchkov, E. Lobaneva","doi":"10.36807/1998-9849-2021-59-85-107-112","DOIUrl":"https://doi.org/10.36807/1998-9849-2021-59-85-107-112","url":null,"abstract":"A method for predicting the useful time of equipment based on the processing of diagnostic data using parallel recurrent and convolutional neural networks is proposed. Images for the convolutional network are formed on the basis of the wavelet transform of diagnostic data. Neural networks operate in a multivalued classification mode, which is used in the method to refine the prediction of the useful time of equipment based on the recursive least squares method. The results of a model experiment performed using a program developed in the MatLAB environment that implements the proposed method are presented.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74806669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2020-58-84-22-26
A. A. Gaile, Sofia D. Usanova, N. Baranova
The results of the extraction of thiophene, dibenzothiophene, diphenylamine, indole, carbazole, fluoranthene and pyrene from model mixtures with n-undecane, as well as thiophene from a mixture with n-heptane at a content of the extractable component in the binary system of 10% wt. are presented. A mixed solvent N-methylpyrrolidone - ethylene glycol with the composition of 90/10% wt. at 25 °C was used for the extraction. The experimental data obtained were compared with the results of the extraction of the same components from model mixtures with n-undecane by pure N-methylpyrrolidone
{"title":"EXTRACTION OF ARENES AND HETEROATOMIC COMPOUNDS FROM n-UNDECAN BY BIEXTRAGENT N-METHYLPYRROLIDONE-ETHYLENE GLYCOL","authors":"A. A. Gaile, Sofia D. Usanova, N. Baranova","doi":"10.36807/1998-9849-2020-58-84-22-26","DOIUrl":"https://doi.org/10.36807/1998-9849-2020-58-84-22-26","url":null,"abstract":"The results of the extraction of thiophene, dibenzothiophene, diphenylamine, indole, carbazole, fluoranthene and pyrene from model mixtures with n-undecane, as well as thiophene from a mixture with n-heptane at a content of the extractable component in the binary system of 10% wt. are presented. A mixed solvent N-methylpyrrolidone - ethylene glycol with the composition of 90/10% wt. at 25 °C was used for the extraction. The experimental data obtained were compared with the results of the extraction of the same components from model mixtures with n-undecane by pure N-methylpyrrolidone","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85459670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2020-57-83-81-89
M. M. Fozilov, T. Chistyakova, A. N. Polosin
A computer system was described for evaluating the extrusion equipment state based on the analysis of data from large-capacity, multi-assortment production of polymeric films. It includes a subsystem for industrial data analysis and evaluation of state parameters of extruders. It also includes a module for calculating the clearance between extruder barrel and screw – as the clearance characterizes wear – a module for calculating dependability measures of extruders, a data and knowledge bank on characteristics of the extrusion stage, a visualization subsystem for plotting parameter trends and displaying advices on elimination of extruder element malfunctions. The system adjusts to a different assortment of polymeric films and types of extruders; it allows us to evaluate the extrusion equipment operating life and to make advice for managerial production staff on elimination of malfunctions that lead to increased vibration and wear of equipment. Testing of the system according to the data of calender and extrusion productions of polymeric films in Russian and German plants confirmed its operability and possibility of its using as advisor to operators. The use of the system allows us to save the extrusion equipment operating life and reduce its production downtime, contributing to an increase in the throughput and quality of the end product.
{"title":"A COMPUTER SYSTEM OF INDUSTRIAL DATA ANALYSIS FOR EVALUATION OF EXTRUSION EQUIPMENT STATE AT POLYMERIC FILM PRODUCTION","authors":"M. M. Fozilov, T. Chistyakova, A. N. Polosin","doi":"10.36807/1998-9849-2020-57-83-81-89","DOIUrl":"https://doi.org/10.36807/1998-9849-2020-57-83-81-89","url":null,"abstract":"A computer system was described for evaluating the extrusion equipment state based on the analysis of data from large-capacity, multi-assortment production of polymeric films. It includes a subsystem for industrial data analysis and evaluation of state parameters of extruders. It also includes a module for calculating the clearance between extruder barrel and screw – as the clearance characterizes wear – a module for calculating dependability measures of extruders, a data and knowledge bank on characteristics of the extrusion stage, a visualization subsystem for plotting parameter trends and displaying advices on elimination of extruder element malfunctions. The system adjusts to a different assortment of polymeric films and types of extruders; it allows us to evaluate the extrusion equipment operating life and to make advice for managerial production staff on elimination of malfunctions that lead to increased vibration and wear of equipment. Testing of the system according to the data of calender and extrusion productions of polymeric films in Russian and German plants confirmed its operability and possibility of its using as advisor to operators. The use of the system allows us to save the extrusion equipment operating life and reduce its production downtime, contributing to an increase in the throughput and quality of the end product.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76191077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2021-59-85-47-50
Aleksey U. Grigoriev, T. V. Ukraintseva
In the article, an attempt was made to develop a theory of formation of primary decomposition sources in energy-saturated materials. Meanwhile, probabilistic values are used: relative speed of primary decomposition "sources" occurrence and the quantity of those sources. A special role in the initiation is given to the occurrence of so-called clusters of primary sources, which sizes exceed the critical one, which is determined by the charge size and the conditions of initiation. The proposed model defines the optimal initiation speed leading to guaranteed detonation excitation and becomes a prerequisite for blasting explosives probabilistic initiation theory development.
{"title":"THE FORMATION OF PRIMARY IGNITION SOURCES WITH IMPACTIVE EXPLOSIVES INITIATION","authors":"Aleksey U. Grigoriev, T. V. Ukraintseva","doi":"10.36807/1998-9849-2021-59-85-47-50","DOIUrl":"https://doi.org/10.36807/1998-9849-2021-59-85-47-50","url":null,"abstract":"In the article, an attempt was made to develop a theory of formation of primary decomposition sources in energy-saturated materials. Meanwhile, probabilistic values are used: relative speed of primary decomposition \"sources\" occurrence and the quantity of those sources. A special role in the initiation is given to the occurrence of so-called clusters of primary sources, which sizes exceed the critical one, which is determined by the charge size and the conditions of initiation. The proposed model defines the optimal initiation speed leading to guaranteed detonation excitation and becomes a prerequisite for blasting explosives probabilistic initiation theory development.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83174607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2021-59-85-36-46
A. V. Knyazev, B. Lavrov
The article contains bibliographic information about the most common industrial technologies for the production of raw materials for catalyst carriers based on aluminum hydroxides. The recent innovations in the field of obtaining pseudoboehmite were described. A comparative analysis of the advantages and limitations of the described technologies was carried out. The characteristics of the production of special grades of aluminum hydroxides in the territory of the Russian Federation were compiled
{"title":"CURRENT TECHNOLOGIES OF ALUMINUM HYDROXIDE RAW MATERIALS PRODUCTION FOR SUPPORT OF THE CATALYSTS","authors":"A. V. Knyazev, B. Lavrov","doi":"10.36807/1998-9849-2021-59-85-36-46","DOIUrl":"https://doi.org/10.36807/1998-9849-2021-59-85-36-46","url":null,"abstract":"The article contains bibliographic information about the most common industrial technologies for the production of raw materials for catalyst carriers based on aluminum hydroxides. The recent innovations in the field of obtaining pseudoboehmite were described. A comparative analysis of the advantages and limitations of the described technologies was carried out. The characteristics of the production of special grades of aluminum hydroxides in the territory of the Russian Federation were compiled","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85355250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2021-59-85-21-25
Natalya V. Guskova, Ekaterina S. Medintseva, V. N. Naraev, Yu. P. Udalov
The pressed blocks made of mixes of Cambrian clay and bentonite were examined depending on montmorillonite content in those blocks. It was established that compositions with montmorillonite content in the range of 40-60 wt. % have the minimum suffusion rate
{"title":"RESISTANCE TO SUFFUSION OF PRESSED BLOCKS OF MONTMORILLONITE POWDERS","authors":"Natalya V. Guskova, Ekaterina S. Medintseva, V. N. Naraev, Yu. P. Udalov","doi":"10.36807/1998-9849-2021-59-85-21-25","DOIUrl":"https://doi.org/10.36807/1998-9849-2021-59-85-21-25","url":null,"abstract":"The pressed blocks made of mixes of Cambrian clay and bentonite were examined depending on montmorillonite content in those blocks. It was established that compositions with montmorillonite content in the range of 40-60 wt. % have the minimum suffusion rate","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76809133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2021-58-84-92-97
I. Soloviev, E. Kartashov
A stochastic analogue of the deterministic problem of the destruction of the human musculoskeletal system is proposed. Using the generalized Focker-Planck- Kolmogorov equation, calculations of average values were produced, which coincide with solutions of deterministic equations about the thermomechanical reaction of the system of the joint - synovial fluid on periodic and impulse effects. According to the universal dispersion formula, calculations were made for short-term pulsed shock mechanical effects, which are the most devastating for the joint.
{"title":"INVESTIGATION OF THE STOCHASTIC MODEL OF DESTRUCTION OF HUMAN MUSCULOSKELETAL APPARATUS","authors":"I. Soloviev, E. Kartashov","doi":"10.36807/1998-9849-2021-58-84-92-97","DOIUrl":"https://doi.org/10.36807/1998-9849-2021-58-84-92-97","url":null,"abstract":"A stochastic analogue of the deterministic problem of the destruction of the human musculoskeletal system is proposed. Using the generalized Focker-Planck- Kolmogorov equation, calculations of average values were produced, which coincide with solutions of deterministic equations about the thermomechanical reaction of the system of the joint - synovial fluid on periodic and impulse effects. According to the universal dispersion formula, calculations were made for short-term pulsed shock mechanical effects, which are the most devastating for the joint.","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"142 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73698180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.36807/1998-9849-2020-56-82-81-88
I. Veshneva, G. Chernyshova, A. Bolshakov
It was revealed that there are no generally accepted methods for assessing competitiveness; modern research is mainly a theoretical analysis of regional competitiveness. It was substantiated that the use of mathematical models and quantitative methods will improve the objectivity of the assessment. A methodology for an information system design for analysis and prediction of the dynamics of risks of competitiveness of regions of the Russian Federation was proposed. The prospects and directions of intellectualization of that system were shown. Based on the analysis of officially published statistical data and information from the regions and the proposed methodology, methods of systematization of socio-economic indicators were designed. An information system module was developed to implement the model based on the Kolmogorov-Chapman equations for assessing the risks of regional competitiveness and its validation was carried out
{"title":"AN INTELLIGENT INFORMATION SYSTEM DESIGN FOR ANALYSIS AND PREDICTION OF THE DYNAMICS OF RISKS OF THE COMPETITIVENESS OF REGIONS OF THE RUSSIAN FEDERATION","authors":"I. Veshneva, G. Chernyshova, A. Bolshakov","doi":"10.36807/1998-9849-2020-56-82-81-88","DOIUrl":"https://doi.org/10.36807/1998-9849-2020-56-82-81-88","url":null,"abstract":"It was revealed that there are no generally accepted methods for assessing competitiveness; modern research is mainly a theoretical analysis of regional competitiveness. It was substantiated that the use of mathematical models and quantitative methods will improve the objectivity of the assessment. A methodology for an information system design for analysis and prediction of the dynamics of risks of competitiveness of regions of the Russian Federation was proposed. The prospects and directions of intellectualization of that system were shown. Based on the analysis of officially published statistical data and information from the regions and the proposed methodology, methods of systematization of socio-economic indicators were designed. An information system module was developed to implement the model based on the Kolmogorov-Chapman equations for assessing the risks of regional competitiveness and its validation was carried out","PeriodicalId":9467,"journal":{"name":"Bulletin of the Saint Petersburg State Institute of Technology (Technical University)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85338333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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