Automated Defect Injection and Simulation for Enhanced Inspector Training
Tracks
NDT UNLOCKED - MONTERREY 2&3
Knowledge Level - NDT Level I/NDT Level II
Knowledge Level - Student
Target Audience - General Interest
Target Audience - Research/Academics
Target Audience - Small Business Managers
Target Audience- NDT Engineers
Tuesday, October 7, 2025 |
2:30 PM - 3:00 PM |
Monterrey 2-3 |
Speaker
Diana Martinez-Trejo
Software Engineer
Guided Ultrasonics
Automated Defect Injection and Simulation for Enhanced Inspector Training
Presentation Description
Effective inspector training in Non-Destructive Testing (NDT) must go beyond theory, offering hands-on, relevant experiences that reflect real-world challenges. This work introduces a powerful new feature within WavePro that enables the creation of customised exam files by injecting artificial defects into clean base results. Instructors can define defect type, location, depth, axial length, circumferential extent, and orientation, directly supporting adult learning principles such as experiential learning, relevance, and task-oriented instruction.
These tailored defect scenarios are analysed using the POGO finite element program developed by Imperial College. This program produces high-fidelity simulation data that mimics realistic ultrasonic responses. The resulting output files (pogo-hist) are visualised in WavePro, allowing inspectors to immediately engage with practical, scenario-based learning that mirrors the conditions they encounter in the field.
This approach supports immediate application by aligning closely with NDT professionals' real inspection tasks. By integrating simulation with active problem-solving, trainees build competence through direct interaction with defect signals, rather than passive observation. The result is faster skill acquisition, higher retention, and improved on-the-job performance. This tool is an impactful addition to any training program, enabling organisations to standardise and elevate the quality of inspector qualification and ongoing professional development.
These tailored defect scenarios are analysed using the POGO finite element program developed by Imperial College. This program produces high-fidelity simulation data that mimics realistic ultrasonic responses. The resulting output files (pogo-hist) are visualised in WavePro, allowing inspectors to immediately engage with practical, scenario-based learning that mirrors the conditions they encounter in the field.
This approach supports immediate application by aligning closely with NDT professionals' real inspection tasks. By integrating simulation with active problem-solving, trainees build competence through direct interaction with defect signals, rather than passive observation. The result is faster skill acquisition, higher retention, and improved on-the-job performance. This tool is an impactful addition to any training program, enabling organisations to standardise and elevate the quality of inspector qualification and ongoing professional development.
Biography
Diana Martinez-Trejo holds a PhD in Engineering from Durham University, specialising in Peer-to-Peer Energy Trading and Blockchain for smart grids at the distribution level. She earned her Master’s from Instituto Politécnico Nacional (Mexico City), designing a System-on-Chip for handling exceptions in Linux. In 2015, she was a visiting researcher at UC Irvine.
Currently a Software Engineer at Guided Ultrasonics Ltd., Diana develops software while actively engaging in blockchain research. The Blockchain Council has certified her as a "Metaverse Expert." She is passionate about programming (C/C++), blockchain, and renewable energy and tutors in her free time.
