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DIAGNOSIS OF SUBSTANCES, WHICH CHARACTERIZE THE PROPERTIES OF INDEPENDENT OBSERVATION AND CONTROL
Abstract:

Modern practice of the development of technical systems, and electrical engineering in particular, shows that their reliability is laid at the design stage and is ensured at the stage of production. The imperfection of production technology and violation of operating modes can lead to the appearance of various defects in the finished systems. Thus, the diagnosis of a technical object (system) must necessarily be present at all stages of its life cycle. Therefore, various works on ensuring the process of diagnosing the technical system is carried out in its design, manufacturing, testing and operation. At the same time, the purpose of the diagnosis is to maintain the necessary level of indicators of the technical state of the system. At the design stage, the main task of diagnosing is to provide the possibility of a potential diagnosis of the system being designed, and at the stage of production and operation, the current control of its performance. The constant increase in the complexity of technical systems, due to the increase and complication of the functions performed, the improvement of production technology, the increase of requirements to quality indicators, etc., leads to the complication of methods and diagnostic tools that provide the necessary properties of systems For the diagnosis of electrical devices, methods such as: peripheral scanning, automatic generation of samples, built-in self-scanning, as well as methods of parametric identification, fault control methods, evaluation methods, etc. are used. Many of these methods are characterized by the following disadvantages: significant amount of computations, the need to access all nodes of the electrical circuit, the sensitivity to the errors of the calculations, and, as a consequence, the complexity of practical implementation. In addition, a significant spread in the diagnosis of electrical devices acquired a method of reference, based on the finding of a set of values of voltages or currents at the control points of those of them closest to the values obtained during measurement in the device being diagnosed. Despite the considerable achievements in the field of diagnosing the technical state of the systems, the relevance of theoretical research and the practical application of diagnostic methods as the basic principles for ensuring the necessary quality indicators of systems (and electrotechnical, in particular) and increasing the reliability of estimates of the technical condition of the latter remains determinative at the present time. Conditions of independent monitoring and control are considered and investigated, which ensure the possibility of conducting a diagnostic experiment without the withdrawal of a controlled system from operation.

Authors:
Keywords
Diagnosis; diagnostic experiment; diagnostic methods; conditions of work; independent supervision; independent managemen; technical system
DOI
//10.15276/aait.01.2018.2
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Published:
Vol. 1 № 1, 2018
Last download:
19 June 2022

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Contents

Information Systems and Technologies

1. Models and Methods of Information Technology2. Design of Information Systems and Technologies3. Mathematical Issues of Information Technologies4. Innovative Technologies in Education, Culture and art5. Game Technologies, Augmented and Virtual Reality6. Theoretical and Applied Issues of Computer Science7. Project, Program and Portfolio Management

Digital control of Technical and Social Systems

1. Adaptive and optimal Control Systems2. Parametric and System Identification3. Interconnected Systems and Systems with Distributed Parameter4. Renewable Energy Systems5. Machine Learning and Artificial Intelligence in General Technical Problems and Electromechanics6. Management of Production and Power Plants7. Control Systems for Robotic Systems and Complexes, Electric Vehicles8. Diagnosis and Evaluation of Complex Systems9. Simulation of Physical Objects and ProcessesSensor less Control Systems

Software Engineering and Systems Analysis

1. Methods and Means of Intellectual Information Processing2. Recognition, Decision Making, Forecasting3. Neural Network Technologies and Machine Learning Methods4. Semantic Models. Natural Language Processing5. Theoretical and Applied Issues of Software Engineering6. Models and Methods of Software Quality Management

Computer Systems and Cybersecurity

1. Parallel and Distributed Information Processing2. Signal Processing In Robotic Systems3. Internet of Things4. Information Security and Cybersecurity5. Computer Networks and Systems6. Components of Robotic Systems
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