Fault root cause analysis using degree of change and mean variable threshold limit in non-linear dynamic distillation column
The chemical industrial processes are both dynamic and complex. The presence of
instability and danger in the production process poses significant challenges to safety …
instability and danger in the production process poses significant challenges to safety …
A Novel Fault Diagnosis Framework for Industrial Production Processes Based on Causal Network Inference
With the advent of Industry 4.0, the introduction of data-driven approaches into industrial
processes for fault diagnosis has gained substantial attention due to their significant …
processes for fault diagnosis has gained substantial attention due to their significant …
Identification research of chemical process leakage based on deep learning and correlation-distance graph coding
Z Liu, X Li, W Cong, B Liu, W Tian - Process Safety and Environmental …, 2024 - Elsevier
As a leak identification method in chemical processes, deep learning is limited by
inadequate sample labels and highly coupled, nonlinear process variables, therefore …
inadequate sample labels and highly coupled, nonlinear process variables, therefore …
Joint structure bipartite graph projection and its application for industrial process monitoring
J Zheng, Z Wang, E Chen - Process Safety and Environmental Protection, 2024 - Elsevier
Process monitoring plays a crucial role in maintaining the safety and stable operation of
industrial processes. One of its key tasks is to improve the accuracy of detecting abnormal …
industrial processes. One of its key tasks is to improve the accuracy of detecting abnormal …
An adaptive method to update alarm deadbands for non-stationary process variables
P Gyasi, J Wang, F Yang, I Izadi - Process Safety and Environmental …, 2023 - Elsevier
False alarms are detrimental to the safety of industrial processes and are often removed by
alarm deadbands. However, most of the existing methods design alarm deadbands based …
alarm deadbands. However, most of the existing methods design alarm deadbands based …
An industrial process monitoring method and its application with fractal-based structure preserving embedding
Z Fang, J Zheng - Process Safety and Environmental Protection, 2024 - Elsevier
Maintaining stable industrial process operation is a crucial research topic in modern process
monitoring. However, industrial process data often contains many redundant correlated …
monitoring. However, industrial process data often contains many redundant correlated …
Optimized Adaptive Iterative Sparse Principal Component Analysis Methodology for Fault Detection and Identification in Control Valves
J Zhang, L Samavedham… - 2023 62nd Annual …, 2023 - ieeexplore.ieee.org
With the advancement of artificial intelligence (AI), modern industrial fault diagnosis has
become a prominent area of research. Among them, PCA-based fault diagnosis has been …
become a prominent area of research. Among them, PCA-based fault diagnosis has been …