Detection Process of a Faulty Element in a Linear Passive Two-Port Network

• Дата: 2021
• Автори: Ключка, Костянтин, Митько, Лідія
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Кам'янець-Подільський національний університет імені Івана Огієнка 2021
• Онлайн доступ: http://mcm-math.kpnu.edu.ua/article/view/251171
• Назва журналу: Mathematical and computer modelling. Series: Physical and mathematical sciences

Currently the analysis of a technical condition of electrical circuits involves the use of extensive capabilities of computer technology. An important condition is the ability of the diagnostic system to execute a real-time diagnostic process. A specific class of diagnostic objects includes passive circuits built only of elements with resistive conductivity and do not contain their own energy sources. Diagnostic methods have been developed for such circuits; those methods are based on determining the parameters of all elements of the circuit and require access to all nodes of the circuit under test. In this case, the diagnostic procedure becomes quite time consuming, because the parameters of all elements of the circuit without exception are to be determined. Alternatively, the algorithm based on the application of the training and verification characteristics method allows to significantly reduce the number of computational operations during the diagnosis. This method, being based on the method of subcircuits, was first developed to diagnose continuous automatic control systems, and then was extended to the circuits themselves. The mentioned subcircuits are allocated in electrical schemes subcircuits for which hypotheses are tested. The essence of the method is that based on the values of the training characteristics, according to the hypothesis by the Foster formula, the values of the parameters of faulty elements are determined. Then, having the values of the parameters of all elements of the circuit, the assessment of the values of training characteristics is executed; if the mentioned values match measured ones the hypothesis is accepted, otherwise the hypothesis is rejected. In the article has been described, based on a specific example, that the application of the training and verification characteristics method allows to considerably reduce the complexity of diagnosing procedure both at a stage of executing measurements, and at a stage of calculations. The results of computational experiments have shown the effectiveness of the training and verification characteristics method; which ultimately allows for more efficient use of computer technology.