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基于小波分析和神经网络的供水管网管内泄漏声检测方法研究

ABSTRACT第5-6页
摘要第7-10页
ACKNOWLEDGEMENT第10-11页
PUBLICATIONS/RESEARCH ACHIEVEMENTS第11-19页
1. INTRODUCTION第19-22页
    1.1. PROBLEM STATEMENT第19-20页
    1.2. SCOPE AND EMPHASIS第20-21页
    1.3. OUTLINE OF DISSERTATION第21-22页
2. LITERATURE REVIEW第22-50页
    2.1. LEAK DETECTION METHODS第22-23页
    2.2. HARDWARE-BASED OUT-OF-PIPE/FIXED METHODS第23-31页
        2.2.1. Acoustic Leak Detection Methods第23-26页
            2.2.1.1. Listening rods第24页
            2.2.1.2. Leak correlator第24-26页
            2.2.1.3. Leak noise logger第26页
        2.2.2. Non-Acoustic Leak Detection Methods第26-29页
            2.2.2.1. Tracer gas第27-28页
            2.2.2.2. Ground penetrating radar第28-29页
            2.2.2.3. Thermal infrared images第29页
        2.2.3. Application Analysis of Hardware-based Out-of-pipe/Fixed Methods第29-31页
    2.3. HARDWARE-BASED IN-LINE/FREE-SWIMMING DETECTION METHODS第31-36页
        2.3.1. Smartball第32-33页
        2.3.2. Sahara第33页
        2.3.3. PipeDriver第33-34页
        2.3.4. PipeGuard第34-35页
        2.3.5. Application Analysis of Hardware-based In-line/Free-swimming Methods第35-36页
    2.4. SOFTWARE-BASED METHODS第36-48页
        2.4.1. Numerical Methods第37-46页
            2.4.1.1. Inverse transient analysis第38-41页
            2.4.1.2. Time domain analysis and frequency domain analysis第41-46页
        2.4.2. Non-numerical model methods第46-48页
    2.5. SUMMARY第48-50页
3. IN-LINE ACOUSTIC LEAKAGE DETECTION DEVICE AND TEST SYSTEM第50-59页
    3.1. INTRODUCTION第50-52页
    3.2. IN-LINE ACOUSTIC DEVICE TECHNICAL APPROACH第52-53页
    3.3. DESIGN AND DEVELOPMENT第53-55页
        3.3.1. Embedded System Design第53-54页
        3.3.2. Mechanical Design第54-55页
    3.4. TEST SYSTEM第55-58页
        3.4.1. Controlled Experiments Designing Methodology第57-58页
    3.5. SUMMARY第58-59页
4. UNDERWATER MEASURED SIGNAL PROCESSING AND LEAK DETECTION METHODOLOGY IN WAVELET TRANSFORM第59-84页
    4.1. INTRODUCTION第60-66页
    4.2. UNDERWATER ACOUSTIC SIGNAL PROCESSING METHODOLOGY IN WAVELETTRANSFORM第66-70页
        4.2.1. Wavelet Transform第67-68页
        4.2.2. Significance of Selection of Optimum Mother Wavelet in Underwater Acoustic Signals第68-70页
    4.3. GENERAL METHOD OF UNDERWATER LEAKAGE IDENTIFICATION第70-71页
    4.4. EXPERIMENTAL METHODOLOGY第71-73页
    4.5. LEAK DETECTION第73-82页
        4.5.1. Acoustic Signal Signature Identification第73-77页
        4.5.2. Selection of Optimal Mother Wavelet第77-80页
        4.5.3. Clustering and Acoustic Signal Identification第80-82页
    4.6. SUMMARY第82-84页
5. IN-LINE ACOUSTIC DEVICE LEAKAGE DETECTION BASED ON WAVELET AND NEURAL NETWORK第84-106页
    5.1. INTRODUCTION第84-86页
    5.2. IN-LINE ACOUSTIC SIGNAL PROCESSING AND SIGNIFICANCE OF WAVELET TRANSFORM IN WATER-FILLED PIPES第86-91页
        5.2.1. Wavelet Transform第87-88页
        5.2.2. The importance of Selection of Mother Wavelet in Water Distribution Pipes第88-91页
    5.3. IN-LINE LEAKAGE SIGNAL FEATURES CLASSIFICATION BASED ON NEURAL NETWORK第91-97页
        5.3.1. Neural Network第92-93页
        5.3.2. Back-Propagation Neural Network Based Classification第93-95页
        5.3.3. Optimization of BPNN model for Leakage Signal Classification第95-97页
    5.4. EXPERIMENTAL METHODOLOGY第97-98页
    5.5. LEAK DETECTION AND CLASSIFICATION第98-104页
        5.5.1. Frequency Analysis and Selection of Mother Wavelet of in-line inspected Acoustic Signal第98-102页
            5.5.1.1. Frequency Analysis第98-99页
            5.5.1.2. Identification of leak signal and background noise in wavelet transform第99-100页
            5.5.1.3. Choice of the Suitable Mother Wavelet第100-102页
        5.5.2. Leak Signal Classification Based on Optimized BPNN第102-104页
    5.6. SUMMARY第104-106页
6. CONCLUSIONS AND FUTURE WORKS第106-109页
    6.1. CONCLUSIONS第106-107页
    6.2. FUTURE WORKS AND SUGGESTIONS第107-109页
REFERENCES第109-118页

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