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Residual Life Estimation of a Fabricated Humidity Sensor Using AI. Alum-Carbon based humidity sensor: Its Fabrication and Residual Life Prediction using Artificial Intelligence Techniques
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Cherry Bhargava,Pardeep Sharma and Jaya Aggarwal
ISBN: 9786139842995
Год издания: 2018
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 84
Издательство: LAP LAMBERT Academic Publishing
Цена: 22125 тг
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Позиции в рубрикаторе
Отрасли экономики:Код товара: 207129
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: From daily life applications to military applications and from toys to satellites, the use of electronic components is in extensive. Due to rapid evolution of electronics device technology towards low cost and high performance, the electronics products become more complex, higher in density and speed, and lighter for easy portability. Reliability prediction of the electronic components used in industrial safety systems requires high accuracy and compatibility with the working environment. The user can replace faulty component with the accurate one, and system will be saved from complete shutdown. Using low-cost materials, carbon, and potash alum, a new solid composite electrolyte system was fabricated and characterized using various techniques. An Arrhenius behavior was reported when the temperature dependence of conductivity was analyzed. The synthesized solid composite electrolyte exhibited excellent humidity sensing behavior. An expert system was modeled using artificial intelligence techniques and failure of the sensor was predicted using artificial neural networks (ANN), fuzzy logic (FIS) an adaptive neuro-fuzzy inference system (ANFIS).
Ключевые слова: Accelerated life testing, Artificial Intelligence, fabrication, humidity sensor, Reliability