Innovative Safety and Reliability Technologies for Pipeline System Integrity and Management

Project Categories

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• Leak Detection
• Emerging Technology
• Non-destructive Testing/Evaluation
• Damage Prevention

Main Objective

Phase I work will focus on development and evaluation of the proposed integrated approach for the metal loss detection in a representative mock-up, including the theoretical analysis of SH wave scattering from a "cup" shape or ellipsoid surface dent in a pipe with 3D BEM, SH EMAT sensor design and fabrication, and metal loss detection and characterization using the nonlinear split-spectrum filter and PCA-LVQ algorithms.

Public Abstract

Intelligent Automation, Incorporated proposes a novel and integrated approach to inspect the metal loss in the pipelines. It combines the state-of-the-art Shear Horizontal (SH) wave EMAT technique, with our record-proven advanced signal processing and pattern classification technique, to detect and characterize the metal loss problem in the underground pipeline transportaion infrastructures. The technique has four components: (1) thorough guided wave modal analysis, (2) recently developed three-dimensional (3-D) Boundary Element Method (BEM) for best operational condition selection and defect feature extraction, (3) untrasonic SH waves EMAT sensor design and data collection, and (4) Nonlinear split-spectrum filter, Principal Component Analysis (PCA) and Learning Vector Quantization (LVQ) for signal-to-noise-ratio enhancement, crack signature extraction, and pattern classification.

Final Report

Pipeline%20inspection debriefing%20slides

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