In-line Nondestructive Inspection of Mechanical Defects in Pipelines with Shear Horizonital Wave EMAT

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT5706C10004
Agency Tracking Number: SBArenumbered5011
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Intelligent Automation Inc.
15400 Calhoun Drive, Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Xiaoliang Zhao
 Senior Research Engineer
 (301) 294-5232
Business Contact
 Mark James
Title: Contracts and Proposal Manager
Phone: (301) 294-5221
Research Institution
Intelligent Automation, Inc. and Oak Ridge National Lab is proposing a novel and integrated approach to inspect mechanical damages in the pipelines with or without coatings. It extends our successful work in a previous phase 1 project that combines the state of the art Shear Horizontal wave signal processing and pattern classification techniques, to detect and characterize the mechanical dents in the underground pipeline transportation infrastructures. In particular, this proposal address several challenging issues: 1) thorough guided wave modal analysis through three dimensional Boundary Element Method for best wave mode and frequency selection and defect volumetric feature extraction, 2) circumferential and axial ultrasonic SH wave EMATs and fixture design for data collection and analysis, 3) advanced signal processing algorithms such as Principal Component Analysis and Discriminant Analysi for mechanical defect signature extraction and pattern classification, and 4) small dents and coating condition assessment. The envisioned system will be mounted on a PIG for accurately and reliably detecting the metal loss and other defects in the pipeline infrastructures long ahead before they need remediation.

* information listed above is at the time of submission.

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