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September 24, 2025ProcessesOpen Access

Distribution Dynamic Direct Orthogonal Decomposition Method for Quality-Related Fault Detection

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Authors

JYJie YuanYWYue WangHMHao Ma

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Overview

Proposed method enhances fault detection in industrial processes, suggesting improved communication among subunits.

Key Points

  • The approach significantly improves fault detection capabilities in large-scale industrial processes using a distributed method.
  • Regression equations established via LASSO facilitate effective information exchange between local and adjacent subunits.
  • The model utilizes singular value decomposition to construct an orthogonal decomposition matrix, enhancing fault detection logic.
  • Incorporating a Bayesian fusion strategy allows for streamlined integration of statistical indicators from multiple fault detections.

Cite This Study

Yuan et al. (2025) studied this question.

synapsesocial.com/papers/68d6d82e8b2b6861e4c3e388https://doi.org/10.3390/pr13103035
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