Research
Statistical engineering research and advanced Tensor SPC
The September 2026 edition of Tensor-Structured Statistical Process Control develops structure-aware monitoring for high-dimensional process data and expands the framework with mathematical foundations, model configuration guidance, diagnostic localization, contribution analysis, and practical deployment interpretation.
Current Version
September 2026 Edition - v5
Version DOI: 10.5281/zenodo.22349917
The 138-page September 2026 monograph is embedded below for quick review and available as a direct PDF download.
Persistent all-versions DOI: 10.5281/zenodo.19701710
September 2026 Coverage
- Tensor foundations, Tucker/HOSVD modeling, and expanded mathematical foundations
- Practical sensor-mode and time-mode rank-selection guidance
- Tensor T² and Tensor Q as complementary structure and residual monitoring statistics
- Tensor T² contribution interpretation and Tensor Q residual localization
- Sensor, time-region, and sensor-time contribution decomposition
- Tensor SPC versus vectorized PCA, Monte Carlo, ARL, EWMA, and CUSUM studies
- Practical diagnostic interpretation, investigation workflow, and deployment guidance