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Название: Adaptive Clustering for Distribution Parameter Estimation in Technical Diagnostics
Авторы: Shcherbakova, G.
Antoshchuk, S.
Koshutina, D.
Sakhno, K.
Ключевые слова: ASTD
Automated Systems for Technical Diagnostics
Electronic Components
Reliability Parameters
Adaptive Clustering
Wavelet Transform
Noise Immunity
Rejection Systems
Exponential Distribution
DN Distribution
Small Data
Noisy Data
Complex ECs
Accelerated Tests
Degradation Processes
Дата публикации: 2024
Библиографическое описание: Shcherbakova G. Adaptive Clustering for Distribution Parameter Estimation in Technical Diagnostics / G. Shcherbakova, S. Antoshchuk, D. Koshutina, K. Sakhno // Proceedings of International Conference on Applied Innovation in IT, 12(1), 2024. - 123-128.
Краткий осмотр (реферат): A novel approach has been introduced to estimate the parameters of exponential and DN distributions during the rejection testing of electronic devices, accompanied by a detailed procedure for its implementation. This innovative method enhances noise immunity and minimizes the error associated with the rejection process through the application of a clustering technique involving wavelet transform. The effectiveness of the method has been verified using resistors, employing criteria such as noise level and stability. The substantial improvement in noise immunity and the reduction in rejection procedure errors are achieved by incorporating an adaptive clustering method coupled with wavelet transform. Notably, in clustering with a signal-to-noise ratio by amplitude of 1.17, the relative error in determining the minimum of the test function was reduced to 8.32%. These promising outcomes substantiate the recommendation of the developed method for the automated selection of resistors, particularly those designated for long-term operational equipment with critical applications. The presented method thus contributes significantly to enhancing the reliability and accuracy of electronic device testing and selection processes.
URI (Унифицированный идентификатор ресурса): http://dspace.opu.ua/jspui/handle/123456789/15331
Располагается в коллекциях:2024

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