In this master work the acoustic stethoscope with telemetric communication system conducted experimental studies to determine the errors that have easy adaptability to new control objects and different classes of problems. This work consists of seven chapters and contains 87 figures, 7 tables, drawing 1, 2 and 8 schemes graphic material. In the section "Overview of BPD technology" are the main physical properties of radio frequency, reduced analysis types types of telemetry communication, conclusions and justification of choice wireless technology Bluetooth. In the section "Development of the functional schemes" developed and described in the functional diagram. Described timing diagrams and sequence of flaw. The calculation Piezoelectric transducer. The results of these calculations is to determine the basic geometric parameters of the sensor resolution antireflaction layer thickness. Developed schematic diagram of the device, the parameters of basic knots. The system meets all the requirements. Modeled parts of the electrical circuit and comparative analysis of the data and conclusions. The section "Research flaw" Experimental investigation of error flaw for different thickness of the test sample and at different depths and different defects occurrence. Bluetooth In the study it was found that this wireless technology fully meets the requirements Thus Ultrasonic Flaw developed with telemetric communication system and the research and benchmarks flaw .KLYUCHOVI WORDS: ARM, automation control, ultrasound system is wireless control, wireless technologies flaw.
Volume of work - 104 pages, number of illustrations - 43, number of tables - 2, number of applications - 3, number of references - 44. Background. The current non-destructive testing systems does not allow solving the problem of classification automatically, which reduces their effectiveness and do not quickly make a memory system on new defects not allowed to expand their knowledge base without recalculation of all parameters of recognition. Such operations require additional time and computational cost, lower performance and efficiency of the entire system. Therefore, the question of drawing Adaptive acoustic NC. The purpose and objectives of the study. The aim - to find a universal approach to the development of the structure of the automated system of digital signal processing devices acoustic control using artificial neural networks that solve problem of recognition and classification of defects and raise the information content and performance control compared to traditional methods. - Analysis of existing methods of signal processing without the use of neural networks and identify their main weaknesses. - Browse and select the type of neural network that can be used for signal processing in the ultrasonic non-destructive testing. - Building a neural network model for experimental determination of the optimal structure and capabilities. - Application of the model to real flaw signal processing to identify and classify defects. Analysis of the data and the effect. The object of the study. The object of research is the process of digital signal processing NDT devices. The subject of the study. The study examined the classification algorithms are technical condition of composite materials for acoustic NDT results. Methods. In developing automated systems of classification and clustering, applied programming techniques, methods, theory of artificial neural networks, which were synthesized neural network algorithms for classification of images and simulation, which confirmed the effectiveness of the results. Scientific novelty of the results. The original method of pattern recognition defects using NDT methods low, thus enhancing adaptability and automate the process of signal processing flaw. The practical significance of the results. Software algorithms implemented automated determination of image defects using artificial neural networks. The results of the thesis can be used in the development of ultrasonic nondestructive testing, which will be used for ultrasonic flaw detection in various industrial sectors. Publications. The research results in the field thesis published in journals: - Collection of Abstracts XV International Scientific and Technical Conference "Instrumentation: Status and Prospects", Kiev, 2016; - Collection of abstracts VII n.-p. conference of students and graduate students "Looking to the future instrument", Kiev, 2015; - Materials 7 International student scientific-technical conference "New development direction instrument-making" , Minsk, 2014h; - Collection of abstracts 4-th Scientific Conference of students and young scientists "Methods and means of nondestructive testing of industrial equipment", Ivano-Frankivsk, 2013. Keywords: nondestructive testing, acoustic testing, method of free oscillations, neural networks, pattern classification
Volume of work - 104 pages, number of illustrations - 43, number of tables - 2, number of applications - 3, number of references - 44. Background. The current non-destructive testing systems does not allow solving the problem of classification automatically, which reduces their effectiveness and do not quickly make a memory system on new defects not allowed to expand their knowledge base without recalculation of all parameters of recognition. Such operations require additional time and computational cost, lower performance and efficiency of the entire system. Therefore, the question of drawing Adaptive acoustic NC. The purpose and objectives of the study. The aim - to find a universal approach to the development of the structure of the automated system of digital signal processing devices acoustic control using artificial neural networks that solve problem of recognition and classification of defects and raise the information content and performance control compared to traditional methods. - Analysis of existing methods of signal processing without the use of neural networks and identify their main weaknesses. - Browse and select the type of neural network that can be used for signal processing in the ultrasonic non-destructive testing. - Building a neural network model for experimental determination of the optimal structure and capabilities. - Application of the model to real flaw signal processing to identify and classify defects. Analysis of the data and the effect. The object of the study. The object of research is the process of digital signal processing NDT devices. The subject of the study. The study examined the classification algorithms are technical condition of composite materials for acoustic NDT results. Methods. In developing automated systems of classification and clustering, applied programming techniques, methods, theory of artificial neural networks, which were synthesized neural network algorithms for classification of images and simulation, which confirmed the effectiveness of the results. Scientific novelty of the results. The original method of pattern recognition defects using NDT methods low, thus enhancing adaptability and automate the process of signal processing flaw. The practical significance of the results. Software algorithms implemented automated determination of image defects using artificial neural networks. The results of the thesis can be used in the development of ultrasonic nondestructive testing, which will be used for ultrasonic flaw detection in various industrial sectors. Publications. The research results in the field thesis published in journals: - Collection of Abstracts XV International Scientific and Technical Conference "Instrumentation: Status and Prospects", Kiev, 2016; - Collection of abstracts VII n.-p. conference of students and graduate students "Looking to the future instrument", Kiev, 2015; - Materials 7 International student scientific-technical conference "New development direction instrument-making" , Minsk, 2014h; - Collection of abstracts 4-th Scientific Conference of students and young scientists "Methods and means of nondestructive testing of industrial equipment", Ivano-Frankivsk, 2013. Keywords: nondestructive testing, acoustic testing, method of free oscillations, neural networks, pattern classification
In this paper, the mobile ultrasound stethoscope that is easy adaptability to new control objects and different classes of problems. This work consists of eight chapters and contains 86 figures, 7 tables, 1 diagram, 1 and 5 PCB graphics. In the "Actuality" and "Introduction" are becoming current flaw detection of problems and goals. The "Survey of similar solutions" are considered modern thickness gauges and flaw detectors, which allow for ultrasonic control facilities with limited access. In the section "Description of the developed Flaw" The basic flaw equipment, its specifications, the structure of the processing system and information visualization. Also, a comparative analysis of relative errors. In the section "Developing electric circuits" are the basic components and circuits used for the construction of model standards. In the section "Description of experimental model" describes the flaw developed, its scope, how it works, specifications, features and operating conditions. In the "development environment Keil uVision» describes the environment for the development of software for microprocessors, as examples of program code execution. In the section "Experimental" progress tests are designed flaw. Analyzed the results. Thus, in the course of the thesis analyzes built mobile ultrasonic flaw detectors, electric fundamental scheme of PCB and on the basis of which created Flaw. The system meets all the requirements.
Master's thesis consists of introduction, five chapters, general conclusions, list of references and has 86 pages of main text, 11 figures, 5 tables, list of references from 18 names on 3 pages. Object of study – capacitive method of humidity control of textile materials. Purpose of the study – capacitive device of humidity control of textile materials. The purpose of the master's thesis is to develop methods and tools for measuring electrical parameters textiles for the evaluation of humidity. The work is devoted to the issue of humidity control of textile materials in the production and development model of the device for moisture control fabric. The use of capacitive method which may fairly easy to implement in the textile industry.
