Experiments show that the KPCA and GWO-BILSTM method have superior performance in reducing redundant causality and improving the accuracy of traceability.

Mar 24, 2024 · There was a main effect of breast support condition on Granger causality (p < 0.001), both from breast to torso and torso to breast. Transfer of ...

Traditional root cause fault method is a kind of data-driven and qualitative diagnosis method. It detects a fault by multivariate statistical analysis [10], [11] ...

Jun 26, 2018 · Fault Root Cause Diagnosis Method Based on BILSTM to Reconstruct Granger Causality. 2023, 1-6. https://doi.org/10.1109/SAFEPROCESS58597 ...

Fault diagnosis methods based on the causality of process variables have been proposed, in which Granger causality is adopted for estimation of causality [11] [ ...

We develop a novel fault diagnosis method that combines information entropy with transfer entropy for chemical processes.

Fault Root Cause Diagnosis Method Based on BILSTM to Reconstruct Granger Causality ... The effect of filtering on Granger causality based multivariate causality ...

A Distributed Training Fault Diagnosis Method for Big Data in Rail Transit System -- Fault detection for 2-D hidden Markov jump systems: The Roesser model ...

This work deals with an analysis of Granger Causality computation based on artificial neural networks, including a nonlinear relation between the involved ...

Nov 3, 2022 · This study proposes a new fault diagnosis method based on the causality between process variables and a monitored index for fault detection, which is referred ...