Damage classification of pipelines under a water flow operation using a multi-scale actuated sensing technology

Chang-Gil Lee; Seunhee Park

doi:10.1117/12.880028

31 March 2011 Damage classification of pipelines under a water flow operation using a multi-scale actuated sensing technology

Chang-Gil Lee, Seunhee Park

Author Affiliations +

Proceedings Volume 7984, Health Monitoring of Structural and Biological Systems 2011; 79840H (2011) https://doi.org/10.1117/12.880028
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

Abstract

In a structure, damage can occur at several scales from micro-cracking to corrosion or loose bolts. This makes the identification of damage difficult with one scale of sensing. Hence, a multi-scale actuated sensing system is proposed based on a self-sensing circuit using a piezoelectric sensor. In the self sensing-based multi-scale actuated sensing, one scale provides a wide frequency-band structural response from the self-sensed impedance measurement and the other scale provides a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement. In this study, an experimental study using the pipeline system under a water flow-operation is carried out to verify the effectiveness and the robustness of the proposed structural health monitoring approach. Different types of structural damage are artificially inflicted on the pipeline system. To classify the multiple types of structural damage, a supervised learning-based statistical pattern recognition is implemented by composing a three-dimensional space using the damage indices extracted from the impedance and guided wave features as well as temperature variation. For more systematic damage classification, several control parameters to determine an optimal decision boundary for the supervised learningbased pattern recognition are optimized. Finally, further research issues will be discussed for real-world implementation of the proposed approach.

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Chang-Gil Lee and Seunhee Park "Damage classification of pipelines under a water flow operation using a multi-scale actuated sensing technology", Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 79840H (31 March 2011); https://doi.org/10.1117/12.880028

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KEYWORDS

Waveguides

Structural health monitoring

Ferroelectric materials

Wavelets

Pattern recognition

Sensing systems

Feature extraction

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