Li, Qing

Statistics & Machine Learning in Nondestructive Evaluation (NDE)

Qing Li

Assistant professor
qlijane@iastate.edu
(515) 294-4867

Academic Department Profile

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
• Model-Assisted Probability of Detection (MAPOD): Reduce empirical testing through simulations.

Statistical Quality Assurance

• Improve the quality and reliability of products
• Quantify different sources of variation

Statistics, Data Analytics, and Machine Learning in Advanced Manufacturing

• Process prognosis by data fusion among different modalities of data, such as thermal images, CT tomography data, and surface topography data
• Defect detection and prediction
• Create mapped solid models of deformed as-manufactured geometries that link to an original reference