Structural health monitoring meets data mining

Leiden Repository

Structural health monitoring meets data mining

Title: Structural health monitoring meets data mining
Author: Miao, Shengfa
Publisher: Leiden Institute of Advanced Computer Science(LIACS), Faculty of Science, Leiden University
Issue Date: 2014-12-16
Keywords: Structural health monitoring
Time series
Model analysis
pattern detection
Abstract: With the development of sensing and data processing techniques, monitoring physical systems in the field with a sensor network is becoming a feasible option for many domains. Such monitoring systems are referred to as Structural Health Monitoring (SHM) systems. By definition, SHM is the process of implementing a damage detection and characterisation strategy for engineering structures, which involves data collection, damage-sensitive feature extraction and statistical analysis. Most of the SHM process can be addressed by techniques from the Data Mining domain, so I conduct this research by combining these two fields. The monitoring system employed in this research is a sensor network installed on a Dutch highway bridge, which aims to monitor dynamic health aspects of the bridge and its long-term degradation. I have explored the specific focus of each sensor type under multiple scales, and analysed the dependencies between sensor types. Based on landmarks and constraints, I have proposed a novel predefined pattern detection method to select traffic events for modal analysis. I have analysed the influence of temperature and traffic mass on natural frequencies, and verified that natural frequencies decrease with temperature increases, but the influence of traffic mass is weaker than that of temperature.
Description: Promotor: J.N. Kok, Co-promotor: A.J. Knobbe
With summary in Dutch
Faculty: Faculteit der Wiskunde en Natuurwetenschappen
Citation: Miao, S., 2014, Doctoral thesis, Leiden University
Sponsor: Chinese CSC Dutch STW

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application/pdf Title page_Contents 244.1Kb View/Open
application/pdf Chapter 1 Introduction 318.9Kb View/Open
application/pdf Chapter 2 722.2Kb View/Open
application/pdf Chapter 3 5.377Mb View/Open
application/pdf Chapter 4 1.222Mb View/Open
application/pdf Chapter 5 3.063Mb View/Open Full text at publisher site
application/pdf Chapter 6 1.863Mb View/Open
application/pdf Chapter 7 2.946Mb View/Open
application/pdf Chapter 8 Conclusion 348.3Kb View/Open
application/pdf References 300.7Kb View/Open
application/pdf Summary in Dutch 291.4Kb View/Open
application/pdf Summary 291.3Kb View/Open
application/pdf Acknowledgements_Curriculum Vitae 217.2Kb View/Open
application/pdf Propositions 117.5Kb View/Open

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