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...

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Bibliographic Details
Main Author: Niu, Gang (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Security systems.
Electronic digital computers > Evaluation.
Mathematics.
Data mining.
Pattern recognition systems.
Security Science and Technology.
System Performance and Evaluation.
Applications of Mathematics.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Online Access:Full-text access
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Table of Contents:
  • 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.

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