Intelligent Fault Diagnosis and Prognosis for Engineering Systems

摘要: PREFACE. ACKNOWLEDGMENTS. PROLOGUE. 1 INTRODUCTION. 1.1 Historical Perspective. 1.2 Diagnostic and Prognostic System Requirements. 1.3 Designing in Fault Systems. 1.4 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 Effects Criticality Analysis (FMECA). 2.4 CBM Test-Plan Design. 2.5 Performance Assessment. 2.6 CBM/PHM Impact on Maintenance Operations: Case 2.7 Control Contingency Management. 2.8 3 SENSORS AND SENSING STRATEGIES. 3.1 3.2 Sensors. 3.3 Sensor Placement. 3.4 Wireless Networks. 3.5 Smart 3.6 4 SIGNAL PROCESSING DATABASE MANAGEMENT SYSTEMS. 4.1 4.2 Signal Processing 4.3 Preprocessing. 4.4 Processing. 4.5 Vibration Monitoring Data Analysis. 4.6 Real-Time Image Feature Extraction Defect/Fault Classification. 4.7 The Virtual Sensor. 4.8 Fusion or Integration Technologies. 4.9 Usage-Pattern Tracking. 4.10 Database Management Methods. 4.11 5 FAULT DIAGNOSIS. 5.1 5.2 Framework. 5.3 5.4 Data-Driven Classification Decision Making. 5.5 Dynamic Systems Modeling. 5.6 Physical Model-Based 5.7 Reasoning. 5.8 Case-Based Reasoning (CBR). 5.9 Other Methods for Diagnosis. 5.10 A Framework Electrical/Electronic 5.11 Study: Vibration-Based Detection Diagnosis Engine Bearings. 5.12 6 PROGNOSIS. 6.1 6.2 Prognosis Techniques. 6.3 Probability-Based 6.4 Prediction 6.5 6.6 7 DIAGNOSIS PROGNOSIS PERFORMANCE METRICS. 7.1 7.2 Requirements Definition. 7.3 Feature-Evaluation Metrics. 7.4 7.5 7.6 Effectiveness 7.7 Complexity/Cost-Benefit of 7.8 8 LOGISTICS: SUPPORT OF THE SYSTEM IN OPERATION. 8.1 8.2 Product-Support Architecture, Knowledge Base, CBM. 8.3 Product Support without 8.4 with 8.5 Scheduling Strategies. 8.6 Simple Example. 8.7 APPENDIX. INDEX.