Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general process for transforming historical electrical grid data into models that aim to predict the risk of failures for components and systems. These...
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 2 vom: 21. Feb., Seite 328-45
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| 1. Verfasser: |
Rudin, Cynthia
(VerfasserIn) |
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| Weitere Verfasser: |
Waltz, David,
Anderson, Roger N,
Boulanger, Albert,
Salleb-Aouissi, Ansaf,
Chow, Maggie,
Dutta, Haimonti,
Gross, Philip N,
Huang, Bert,
Ierome, Steve,
Isaac, Delfina F,
Kressner, Arthur,
Passonneau, Rebecca J,
Radeva, Axinia,
Wu, Leon |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2012
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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