bookSep 13, 2006Closed access

Intelligent Fault Diagnosis and Prognosis for Engineering Systems

Georgia Institute of Technology · Impact

Indexed incrossref

Abstract

PREFACE. ACKNOWLEDGMENTS. PROLOGUE. 1 INTRODUCTION. 1.1 Historical Perspective. 1.2 Diagnostic and Prognostic System Requirements. 1.3 Designing in Fault Diagnostic and Prognostic Systems. 1.4 Diagnostic and Prognostic Functional Layers. 1.5 Preface to Book Chapters. 1.6 References. 2 SYSTEMS APPROACH TO CBM/PHM. 2.1 Introduction. 2.2 Trade Studies. 2.3 Failure Modes and Effects Criticality Analysis (FMECA). 2.4 System CBM Test-Plan Design. 2.5 Performance Assessment. 2.6 CBM/PHM Impact on Maintenance and Operations: Case Studies. 2.7 CBM/PHM in Control and Contingency Management. 2.8 References. 3 SENSORS AND SENSING STRATEGIES. 3.1 Introduction. 3.2 Sensors. 3.3 Sensor Placement. 3.4 Wireless Sensor…

Citation impact

1,103
total citations
FWCI
13.57
Percentile
100%
References
43
Citations per year

Authors

5

Topics & keywords

Keywords
  • Failure mode, effects, and criticality analysis
  • Fault (geology)
  • Engineering
  • Expert system
  • Sensor fusion
  • Computer science
  • Data mining
  • Artificial intelligence
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