Título : |
Machine learning and knowledge discovery for engineering systems health management |
Tipo de documento: |
texto impreso |
Autores: |
Ashok N. Srivastava, Autor ; Jiawei Han, Autor ; Jiawei Han, Autor ; Jiawei Han, Autor |
Mención de edición: |
Primera edición |
Editorial: |
Boca Raton : CRC Press |
Fecha de publicación: |
2012 |
Colección: |
Chapman & Hall/CRC data mining and knowledge discovery |
Número de páginas: |
xxxvii, 464 páginas |
Il.: |
diagramas, tablas |
Dimensiones: |
24 cm |
ISBN/ISSN/DL: |
978-1-4398-4178-5 |
Idioma : |
Inglés (eng) |
Clasificación: |
620 Ingeniería y operaciones afines |
Nota de contenido: |
Data-driven methods for systems health management -- Mining data streams: systems and algorithms -- A tutorial on bayesian networks for systems health management -- Anomaly detection in a fleet of systems -- Discriminative topic models -- Prognostic performance metrics -- Physics-based methods for systems health management -- Gaussian process damage prognosis under random and flight profile fatigue loading -- Bayesian analysis for fatigue damage prognostics and remaining useful life prediction -- Physics-based methods of failure analysis and diagnostics in human space flight -- Model-based tools and techniques for real-time system and software health management -- Applications -- Real-time identification of performance problems in large distributed systems -- A combined model-based and data-driven prognostic approach for aircraft system life management -- Hybrid models for engine health management -- Extracting critical information from free text data for systems health management. |
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=106520 |
Machine learning and knowledge discovery for engineering systems health management [texto impreso] / Ashok N. Srivastava, Autor ; Jiawei Han, Autor ; Jiawei Han, Autor ; Jiawei Han, Autor . - Primera edición . - Boca Raton : CRC Press, 2012 . - xxxvii, 464 páginas : diagramas, tablas ; 24 cm. - ( Chapman & Hall/CRC data mining and knowledge discovery) . ISBN : 978-1-4398-4178-5 Idioma : Inglés ( eng)
Clasificación: |
620 Ingeniería y operaciones afines |
Nota de contenido: |
Data-driven methods for systems health management -- Mining data streams: systems and algorithms -- A tutorial on bayesian networks for systems health management -- Anomaly detection in a fleet of systems -- Discriminative topic models -- Prognostic performance metrics -- Physics-based methods for systems health management -- Gaussian process damage prognosis under random and flight profile fatigue loading -- Bayesian analysis for fatigue damage prognostics and remaining useful life prediction -- Physics-based methods of failure analysis and diagnostics in human space flight -- Model-based tools and techniques for real-time system and software health management -- Applications -- Real-time identification of performance problems in large distributed systems -- A combined model-based and data-driven prognostic approach for aircraft system life management -- Hybrid models for engine health management -- Extracting critical information from free text data for systems health management. |
Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=106520 |
Machine learning and knowledge discovery for engineering systems health management
Srivastava, Ashok N.Han, Jiawei ; Han, Jiawei ; Han, Jiawei - -
Boca Raton : CRC Press - 2012
Data-driven methods for systems health management -- Mining data streams: systems and algorithms -- A tutorial on bayesian networks for systems health management -- Anomaly detection in a fleet of systems -- Discriminative topic models -- Prognostic performance metrics -- Physics-based methods for systems health management -- Gaussian process damage prognosis under random and flight profile fatigue loading -- Bayesian analysis for fatigue damage prognostics and remaining useful life prediction -- Physics-based methods of failure analysis and diagnostics in human space flight -- Model-based tools and techniques for real-time system and software health management -- Applications -- Real-time identification of performance problems in large distributed systems -- A combined model-based and data-driven prognostic approach for aircraft system life management -- Hybrid models for engine health management -- Extracting critical information from free text data for systems health management.
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