digiqual
High-Fidelity Reliability Assessment for Non-Destructive Evaluation
Advanced NDE Reliability Engineering
digiqual is a specialized statistical library developed for Non-Destructive Evaluation (NDE) professionals. It provides a rigorous framework for conducting Model-Assisted Probability of Detection (MAPOD) studies, utilizing the Generalized \(\hat{a}\)-versus-\(a\) Method.
The package is designed to provide robust, conservative reliability assessments in complex scenarios where traditional linear regression, homoscedasticity, and normality assumptions are statistically invalid.
Core Capabilities
🔬 Statistical Generalisation
Supports non-linear signal responses through automated cross-validation model selection and treats noise as a heteroscedastic, non-Gaussian process.
🔄 Adaptive Optimisation
Utilises an Active Learning lifecycle to orchestrate automated loops of initialisation, execution, and diagnostic-driven refinement.
💻 Multimodal Execution
Integrates with external physics solvers via specialised Executors for Python, MATLAB, and Command Line Interfaces (CLI), facilitating process isolation.
Deployment Architectures
For engineers developing custom reliability pipelines or integrating PoD into large-scale Monte Carlo simulation environments.
uv add digiqualIf you are completely new, head over to the Installation Guide for setup details, & the Quick Start Guide for an intro to the SimulationStudy Class.
A browser-based graphical user interface (GUI) built with a modern design system, providing a visual workflow for design, diagnostics, and analysis.
uv users can use the uvx shortcut to load the app directly:
uvx -v digiqual@latestAlternatively, once the package is installed, the GUI can be launched from a python command:
# Launch the local application
from digiqual import dq_ui
dq_ui()For more information about the GUI, head over to the Launch the App page.
We are actively developing standalone, double-click executables for both Windows and macOS. In the near future, you or your colleagues will be able to run the complete DigiQual toolkit as a standard desktop application, without needing to install Python, manage virtual environments, or touch a command line.
References
This package implements methods described in:
Malkiel, N., Croxford, A. J., & Wilcox, P. D. (2025). A generalized method for the reliability assessment of safety–critical inspection. Proceedings of the Royal Society A, 481: 20240654. https://doi.org/10.1098/rspa.2024.0654
Malkiel, N., Croxford, A. J., & Wilcox, P. D. (2026). A comprehensive investigation of flexible and multi-dimensional simulation-based PoD analysis NDT & E International, 159: 103596. https://doi.org/10.1016/j.ndteint.2025.103596