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Reliability analysis of distribution network of mining enterprises electrical power supply based on measure of information uncertainty
Автор | Дулесова, Наталья Валериевна | |
Автор | Дулесов, Александр Сергеевич | |
Автор | Карандеев, Денис Юрьевич | |
Дата внесения | 2019-07-01T07:29:20Z | |
Дата, когда ресурс стал доступен | 2019-07-01T07:29:20Z | |
Дата публикации | 2017 | |
Библиографическое описание | Дулесова, Наталья Валериевна. Reliability analysis of distribution network of mining enterprises electrical power supply based on measure of information uncertainty [Текст] / Наталья Валериевна Дулесова, Александр Сергеевич Дулесов, Денис Юрьевич Карандеев // IPDME 2017 IOP Conf. Series: Earth and Environmental Science 87 (2017). — 2017. | |
URI (для ссылок/цитирований) | http://iopscience.iop.org/article/10.1088/1755-1315/87/3/032008 | |
URI (для ссылок/цитирований) | https://elib.sfu-kras.ru/handle/2311/111340 | |
Описание | Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала. | |
Аннотация | Abstract. In the reliability analysis of the distribution network, information entropy is considered as the measure of uncertainty. The simple mathematical model that allows determining an entropy of a network structure is offered. The model is based on Shannon's approach to the determination of information. Reliability analysis comes down to the comparison of two components of entropy: the first is the entropy of connection a sourceelectroreceiver in the structure; the second is a boundary entropy as information of observance of the requirement to support the required reliability level of electrical power supply of the electroreceiver. The example and the procedure how to perform the necessary calculations for the analysis are provided. | |
Тема | optimization | |
Тема | information uncertainty | |
Тема | information | |
Тема | entropy | |
Тема | structural system reliability | |
Тема | network redundancy | |
Название | Reliability analysis of distribution network of mining enterprises electrical power supply based on measure of information uncertainty | |
Тип | Journal Article | |
Тип | Journal Article Preprint | |
ГРНТИ | 28.17.19 | |
Дата обновления | 2019-07-01T07:29:20Z | |
Институт | Хакасский технический институт — филиал СФУ | |
Подразделение | Кафедра электроэнергетики | |
Журнал | IPDME 2017 IOP Conf. Series: Earth and Environmental Science 87 (2017) | |
Квартиль журнала в Scopus | без квартиля | |
Квартиль журнала в Web of Science | без квартиля |