Data-Driven Technology for Engineering Systems Health Management Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Niu, Gang (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03002nam a22005655i 4500
001 978-981-10-2032-2
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020 |a 9789811020322  |9 978-981-10-2032-2 
024 7 |a 10.1007/978-981-10-2032-2  |2 doi 
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100 1 |a Niu, Gang.  |e author. 
245 1 0 |a Data-Driven Technology for Engineering Systems Health Management  |h [electronic resource] :  |b Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions /  |c by Gang Niu. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2017. 
300 |a XIII, 357 p. 204 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Background of Systems Health Management -- Design Approach for Systems Health Management -- Overview of Data-driven PHM -- Data Acquisition and Preprocessing -- Statistic Feature Extraction -- Feature Selection Optimization -- Intelligent Fault Diagnosis Methodology -- Science of Prognostics -- Data Fusion Strategy -- System Support and Logistics. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Computer system failures. 
650 0 |a Data mining. 
650 0 |a Pattern recognition. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 1 4 |a Engineering. 
650 2 4 |a Quality Control, Reliability, Safety and Risk. 
650 2 4 |a System Performance and Evaluation. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Pattern Recognition. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811020315 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-2032-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)