The Development of the Structural Health Monitoring System for Early Fault Diagnosis by using Acoustic Emission
- Alternative Title
- 조기결함 진단을 위한 음향방출법을 이용한 구조물 안전감시 시스템의 개발
- Abstract
- Structural Health Monitoring for Industrial facility such as bridge, building, rotating machinery, power plant are generically defined as the process of implementing a damage detection and characterization strategy for engineering structures. This information can be used for rapid condition screening and aims to provide, in near real time, reliable information regarding the integrity of the structure.
Today’s large and complex systems require efficient and intelligent monitoring strategies which will help evaluating and distinguishing between the undamaged and damaged structure. A sudden fault of structure like power plant will cause the main equipment to shut down and the production of energy will also stop. It is therefore essential to be able to predict such a failure in advance to reduce downtime and other human disaster. Numerous non-destructive condition monitoring techniques have been proposed for early fault defection.
In the mean time, to monitor the performance, reliability and safety of large plant, there is an increase in the installation of real-time condition monitoring systems.
In this study, Acoustic Emission Testing method one of the Non-Destructive Testing method was proposed to detect and diagnosis fault signals for industrial facility and large power plant structure. To satisfy field requirement, this study apply compound sensor for vibration and acoustic emission to detect fault signal from the object and design specialized waveguide for high temperature and dangerous area.
In order to acquire wide range of fault signals from low to high frequency range, special purpose of signal conditioning module such as pre-amplifier and main-amplifier are needed. And data acquisition hardware such as signal level trigger module, high speed data acquisition module, CPU module are also required.
In addition, to find the location of fault for small and large structure, source location technique is applied. Based on raw data from power plant, this study proposed feature extraction, selection, classification, and clustering.
Finally, in data interpretation and evaluation, 3D source locating technique as well as fault analyzing technique with various AE features such as energy, amplitude, rise time, duration, RMS, and so on, are performed for structural health monitoring .
In this thesis, AE monitoring hardware newly developed and software are also designed as a real-time, post-processing respectively.
The on-line monitoring system to be used for multi-parameter monitoring of physical structure and processes.
Proposed source location and early detection technique confirmed through application case. Study results show that AE system can detect and prevent unexpected plant accident early, and contributes to maximize the effectiveness of power generation.
- Issued Date
- 2012
- Awarded Date
- 2012. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 음향진동공학과(협)
- Advisor
- 배동명
- Table Of Contents
- Contents i
List of figures v
List of tables ix
List of abbreviations xi
Abstract xiii
I. Introduction 1
1.1 Technical, economic and social background 1
1.2 Motivation and significance of this research 4
1.3 Aims and objectives 5
1.4 Contributions 6
References 7
II. Review on AE Signal Processing and Source Location 9
2.1 Introduction 9
2.2 AE signal processing 10
2.3 AE features 11
2.4 Fault diagnosis method using AE features 17
2.4.1 Fault diagnosis using time driven and hit based feature 17
2.4.2 Fault diagnosis using combination feature 19
2.5 Source location algorithm and it’s application 21
2.5.1 Conventional source location algorithm 21
2.5.2 Application of source location algorithm 23
2.6 Conclusion 27
References 28
III. Design on the Acoustic Emission System 29
3.1 Introduction 29
3.2 Sensing equipment 29
3.2.1 Conventional AE sensor 29
3.2.2 AE waveguide design 31
3.3 AE Signal conditioning module design 35
3.3.1 Pre-amplifier module design for compound sensor 35
3.3.2 Main-amplifier module design for compound sensor 37
3.3.3 Power and signal line driver design using single cable 38
3.4 AE data acquisition hardware design 40
3.4.1 Signal level trigger module design 40
3.4.2 High speed data acquisition module 41
3.4.3 CPU module 42
3.4.4 AE monitoring hardware 42
3.5 AE software design 45
3.5.1 Real-time monitoring program 45
3.5.2 Post-processing program 49
3.6 Validation of AE system 52
3.6.1 Validation of frequency response 52
3.6.2 Validation of noise level 53
3.6.3 Validation of transfer speed 54
3.7 Conclusion 55
References 56
IV. Applications of Structural Health Monitoring for Fault Diagnosis 57
4.1 Structural monitoring of boiler tube leak in power plant 57
4.1.1 Introduction 57
4.1.2 Review of leak theory and BTLD system 59
4.1.3 Proposed system and installation 60
4.1.4 Fault diagnosis strategy 64
4.1.5 3D source location for tube leak 67
4.1.6 Experiment and results 72
4.2 Structural integrity monitoring for seamless pressure vessel 81
4.2.1 Introduction 81
4.2.2 Structure of seamless pressure vessel 82
4.2.3 Test procedure and acceptance criteria 82
4.2.4 Experiment and results 84
4.3 Structural health monitoring of blast furnace in steel mill 91
4.3.1 Introduction 91
4.3.2 Review of conventional study 91
4.3.3 Monitoring strategy of blast furnace and blower 92
4.3.4 Experiment and results 93
4.3.5 Feature extraction and classification of fault signal 97
4.3.6 Crack detection and leak monitoring of blast furnace 108
4.4 Conclusion 112
4.4.1 Source location in structure 112
4.4.2 Early fault detection in structure 112
References 113
V. Conclusions 116
국문요약 119
Acknowledgements 121
감사의 글 122
- Degree
- Doctor
- Appears in Collections:
- 과학기술융합전문대학원 > 기타 학과
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