Statistics & Machine Learning in Nondestructive Evaluation (NDE)
Statistical Quality Assurance
- Improve the quality and repeatability of products
- Quantify different sources of variation
- Process characterization
Probability of Detection
- Quantify the capability of an NDE technique both to detect and size flaws
- Help to establish compliance with standard requirements for inspection quality
- Serve as a target to achieve for testing processes
Statistics, Data Analytics, and Machine Learning in Advanced Manufacturing
- Statistical process monitoring
- Defects detection and prediction
- Data fusion among different modalities of data, such as thermal images, CT tomography data, surface topography data, etc. for more accurate process prognosis
Point of Contact:
Qing Li
Assistant professor in IMSE
qlijane@iastate.edu
Department Profile: https://www.imse.iastate.edu/qing-li/
Funded Research Sponsors
- NSF, Department of the Navy,
- Iowa State University
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- College of Engineering
- IMSE Department
- Debbie and Jerry Ivy College of Business
Keywords
- Quality, Statistics, Machine Learning, Data Analytics
Memberships & Awards
- American Society for Nondestructive Testing (ASNT)
- Institute of Industrial and Systems Engineers (IISE)
- American Statistical Association (ASA)
- M&D Best Track Paper Award of the Manufacturing and Design Division in IISE