| ABSTRACT | 第1-9页 |
| ACKNOWLEDGEMENTS | 第9-10页 |
| TABLE OF CONTENTS | 第10-14页 |
| LIST OF FIGURES | 第14-19页 |
| LIST OF TABLES | 第19-20页 |
| LIST OF ABBREVIATIONS | 第20-22页 |
| CHAPTER 1 INTRODUCTION | 第22-30页 |
| ·Background and motivation | 第22-25页 |
| ·Problem statement | 第25-26页 |
| ·Research objectives | 第26-27页 |
| ·Contributions | 第27-29页 |
| ·Organization | 第29-30页 |
| CHAPTER 2 LITERATURE REVIEW | 第30-43页 |
| ·Introduction | 第30页 |
| ·Data processing | 第30-37页 |
| ·Time domain | 第31-33页 |
| ·Frequency domain | 第33-34页 |
| ·Time-frequency domain | 第34-37页 |
| ·Intelligent fault diagnosis and prognosis | 第37-41页 |
| ·Feature extraction | 第38页 |
| ·Feature selection | 第38-39页 |
| ·Fault diagnosis and prognosis | 第39-41页 |
| ·Summary | 第41-43页 |
| CHAPTER 3 A FAST AND ADAPTIVE VARYING-SCALE MORPHOLOGICAL FILTER FOR BEARING FAULT DIAGNOSIS | 第43-59页 |
| ·Introduction | 第43-44页 |
| ·Mathematical theory of morphological analysis | 第44-46页 |
| ·Theoretical fundamental of morphological filter | 第44-45页 |
| ·The structure elements(SEs) | 第45-46页 |
| ·Principle of the varying-scale morphological analysis | 第46-49页 |
| ·Simulation study | 第49-52页 |
| ·Experimental validation | 第52-58页 |
| ·Summary | 第58-59页 |
| CHAPTER 4 A DOPPLER TRANSIENT MODEL FOR LOCOMOTIVE BEARING FAULT DIAGNOSIS | 第59-82页 |
| ·Introductions | 第59-60页 |
| ·Theoretical Background | 第60-63页 |
| ·Doppler effect | 第60-61页 |
| ·Transient Model Based on the Laplace Wavelet | 第61-62页 |
| ·Correlation Analysis | 第62-63页 |
| ·Proposed Doppler Transient Model Based on Laplace Wavelet and Spectrum correlation Assessment | 第63-68页 |
| ·Doppler Distortion of the Transient Model Based on the Laplace Wavelet | 第64-66页 |
| ·Envelope Spectrum Correlation Assessment | 第66-67页 |
| ·Parameter Identification and Locomotive Bearing Fault Detection | 第67-68页 |
| ·Simulation Validation of the Proposed Method | 第68-71页 |
| ·Application of the Proposed Method to Real Locomotive Bearing Fault Diagnosis | 第71-80页 |
| ·Summary | 第80-82页 |
| CHAPTER 5 A GENERIC SUPPORT VECTOR REGRESSIVE CLASSIFIER FOR IDENTIFYING THE ROTATING MACHINERY FAULT PATTERNS | 第82-106页 |
| ·Introduction | 第82页 |
| ·Theoretical background | 第82-88页 |
| ·Wavelet packet transform | 第82-83页 |
| ·Support Vector Machine | 第83-85页 |
| ·Support Vector Regression | 第85-88页 |
| ·Proposed health status identification scheme | 第88-92页 |
| ·Fault feature extraction | 第88-90页 |
| ·Fault feature selection | 第90-91页 |
| ·Fault pattern recognition using a generic multi-class solver | 第91-92页 |
| ·Experimental validation of the proposed intelligent machine fault diagnosis scheme | 第92-104页 |
| ·Case 1:The proposed scheme validated by bearing fault data | 第92-99页 |
| ·Case 2:The proposed scheme validated by gear fault data | 第99-103页 |
| ·Discussion on the effect of wavelet basis function on the performance of the proposed scheme | 第103-104页 |
| ·Summary | 第104-106页 |
| CHAPTER 6 TW0-LAYER SUPPORT VECTOR REGRESSIVE MACHINES FOR RECOGNIZINGBEARING FAULT PATTERNS AND SIZES | 第106-123页 |
| ·Introduction | 第106-107页 |
| ·Two-layer SVRMs for bearing health evaluation | 第107-111页 |
| ·Fault feature extraction | 第107-108页 |
| ·Using two-layer SVRMs for accurate bearing fault diagnosis | 第108-110页 |
| ·Two-layer SVRMs parameter selection and optimization | 第110-111页 |
| ·Validation of the proposed method | 第111-118页 |
| ·Comparisons with other SVM and ANN methods | 第118-121页 |
| ·Summary | 第121-123页 |
| CHAPTER 7 REMAINING USEFUL LIFE ESTIMATIONFOR THE IMPELLERS OF SLURRY PUMPS USING THEHEALTH STATUS PROBABILITY ESTIMATION | 第123-138页 |
| ·Introduction | 第123-125页 |
| ·The tested slurry pump | 第125页 |
| ·The proposed method for RUL prognostics | 第125-133页 |
| ·Sensitive features extraction | 第127-132页 |
| ·Health status probability estimation provided by support vector machine | 第132-133页 |
| ·Remaining useful life estimation by combining the health status probability and the historical data | 第133页 |
| ·Case studies | 第133-137页 |
| ·Summary | 第137-138页 |
| CHAPTER 8 CONCLUSIONS AND FUTURE WORK | 第138-143页 |
| ·Conclusions | 第138-139页 |
| ·Future work | 第139-140页 |
| ·Awards and publications | 第140-143页 |
| BIBLIOGRAPHY | 第143-156页 |
| 中文简介 | 第156-161页 |
