SBIR/STTR Research Award

Guided Shear Horizontal Wave Electromagnetic Acoustic Transducer for In-line Nondestructive Inspection of Pipeline

Award identifier 11c0e9c9c8d3171ce2628d9f8c87714fa489f6c2b78ae2844fb51490e27a5eaeAwarding agency Department of Transportation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2004

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Transportation
Branch
Not reported
Recipient company
Intelligent Automation, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
C3QJD7VXG167
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Pipelines used for transporting natural gas and petroleum fluid are aging and may suffer from accidental damage. The need is growing for an efficient and reliable inspection system to locate and characterize the weak spots that can fail and result in leakage. Magnetic fulx leakage in-line inspection smart Pip-Inspection-Gears and compression wave ultrasonic transmission devices, currently used for detecting metal loss and other defects like Stress Corrosion Cracks have the difficulty of reliably detecting metal loss and other defects like Stress Corrosion Cracks have the difficulty of relably detecting the coincidental metal loss associated with the cup type injurious anomaly. Intelligent Automation, Inc. proposes a novel and integrated approach to inspect the metal loss in the pipelines. It combines the state-of-the-art Shear Horizontal 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 transportation infrastructures. The technique has four components: 1) thorough guided wave modal analysis, 2) recently developed threee-dimensional (3-D) Boundary Element Method for best operational condition selection and defect feature extraction, 3) ultrasonic SH wave EMAT sensor design and data collection, and 4) Nonlinear split-spectrum filter, Principal Component Analysis and Learning Vector Quantization for signal-to-noise-ratio enhancement, crack signature extraction, and pattern classification.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Transportation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.