The purpose of this book is to describe a methodology that has been established to schedule predictive maintenance of distribution transformers in the department of Cauca (Colombia) using machine learning. The proposed methodology is based on a predictive classification model that finds the minimum number of distribution transformers prone to failure. To verify this, the model was implemented and tested with real data in the Department of Cauca (Colombia). This methodology is a useful tool for decision making, which provides an ideal solution for predictive maintenance scheduling problems of distribution transformers.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to describe a methodology that has been established to schedule predictive maintenance of distribution transformers in the department of Cauca (Colombia) using machine learning. The proposed methodology is based on a predictive classification model that finds the minimum number of distribution transformers prone to failure. To verify this, the model was implemented and tested with real data in the Department of Cauca (Colombia). This methodology is a useful tool for decision making, which provides an ideal solution for predictive maintenance scheduling problems of distribution transformers. 72 pp. Englisch. N° de réf. du vendeur 9786203933901
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The purpose of this book is to describe a methodology that has been established to schedule predictive maintenance of distribution transformers in the department of Cauca (Colombia) using machine learning. The proposed methodology is based on a predictive c. N° de réf. du vendeur 487896002
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this book is to describe a methodology that has been established to schedule predictive maintenance of distribution transformers in the department of Cauca (Colombia) using machine learning. The proposed methodology is based on a predictive classification model that finds the minimum number of distribution transformers prone to failure. To verify this, the model was implemented and tested with real data in the Department of Cauca (Colombia). This methodology is a useful tool for decision making, which provides an ideal solution for predictive maintenance scheduling problems of distribution transformers. N° de réf. du vendeur 9786203933901
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Taschenbuch. Etat : Neu. Predictive Maintenance of Distribution Transformers | Case Study: Department of Cauca (Colombia) | Laura Isabel Alvarez Quiñones | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786203933901 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120350731
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