Data-Driven Technology for Engineering Systems Health Management [electronic resource] : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions /
By: Niu, Gang [author.].
Contributor(s): SpringerLink (Online service).
Publisher: Singapore : Springer Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIII, 357 p. 204 illus. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811020322.Subject(s): EXTC Engineering
| Quality Control, Reliability, Safety and Risk | Data Mining and Knowledge DiscoveryDDC classification: 658.56 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.)
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Springer Nature eBookSummary: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
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