TY  - BOOK
AU  - Niu,Gang
ED  - SpringerLink (Online service)
TI  - Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions 
SN  - 9789811020322
AV  - TA169.7 
U1  - 658.56 23
PY  - 2017///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Quality control
KW  - Reliability
KW  - Industrial safety
KW  - Computer system failures
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Data mining
KW  - Pattern recognition
KW  - Quality Control, Reliability, Safety and Risk
KW  - System Performance and Evaluation
KW  - Applications of Mathematics
KW  - Data Mining and Knowledge Discovery
KW  - Pattern Recognition
N1  - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-981-10-2032-2
ER  -