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Comparative analysis of two predictive models of pumping equipment operationстатья
- Авторы: Echkina E., Levichev A., Sushko A.
- Журнал: Journal of Physics: Conference Series
- Том: 12109
- Номер: 2701
- Год издания: 2024
- Издательство: IOP Publishing
- Местоположение издательства: [Bristol, UK], England
- DOI: 10.1088/1742-6596/2701/1/012109
- Аннотация: Predictive analytics is a field of knowledge that allows you to make informeddecisions, prepare for unforeseen situations and anticipate all kinds of emergencies. Recently,predictive analysis has been actively used in industry: based on historical data, the model makesa probabilistic forecast of the device's behavior in the near future. This paper provides acomparative analysis of two predictive models, which both could self-learn and had the propertyof self-correction. The accuracy of predicting the development of a defect in industrialequipment, as well as the prediction horizon, were evaluated. Particular attention is paid to thepeculiarity of working with data obtained from production sensors
- Добавил в систему: Ечкина Евгения Юрьевна