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

• 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: Engineering.; Computer system failures.; Data mining.; Pattern recognition.; Applied mathematics.; Engineering mathematics.; Quality control.; Reliability.; Industrial safety.; Quality Control, Reliability, Safety and Risk.; System Performance and Evaluation.; Applications of Mathematics.; Data Mining and Knowledge Discovery.; Pattern Recognition.

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...

Πίνακας περιεχομένων:

• 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.