Poorly designed alarm thresholds usually lead to significant safety hazards and highly connected industrial processes. Due to the process condition changes, the traditional alarm …
L Ma, J Dong, K Peng - ISA transactions, 2020 - Elsevier
As the first protective layer for modern complex industrial processes, process monitoring and fault diagnosis (PM-FD) systems play a vital role in ensuring product quality, overall …
H Gao, W Huang, X Gao, H Han - ISA transactions, 2023 - Elsevier
Modern industrial processes often exhibit large-scale and nonlinear characteristics. Incipient fault detection for industrial processes is a big challenge because of the faint fault signature …
X Xu, X Weng, D Xu, H Xu, Y Hu, J Li - ISA transactions, 2020 - Elsevier
Abstract In the Dempster–Shafer theory (DST) of evidence, the alarm evidence updating- based method can effectively deal with the uncertainty of the monitored process variable so …
P Gyasi, J Wang - Process Safety and Environmental Protection, 2023 - Elsevier
Many alarm systems suffer from false and missed alarms that are detrimental to the safety and efficiency of industrial process operations. This paper proposes a method to jointly …
J Taheri-Kalani, G Latif-Shabgahi… - Process Safety and …, 2024 - Elsevier
In modern complex industrial systems, multiple process variables interact with one another. The role of alarm systems in ensuring the safety of these systems is of utmost importance …
C Yu, H Wang, J Yao, J Zhao, Q Sun, H Zhu - Renewable Energy, 2020 - Elsevier
The setting of the alarm threshold is critical for photovoltaic (PV) fault diagnosis systems. In practice the prior knowledge is generally used to set the alarm threshold with a fixed value …
X Duan, Z Gao, Z Qiao, T Du, Y Zou, P Zhang… - Journal of Marine …, 2024 - mdpi.com
To achieve the failure warning of marine systems and their equipment (MSAE), the threshold is one of the most prominent issues that should be solved first. In this study, a fusion model …
G Liu, S Yang, G Wang, F Li, D You - Electronics, 2021 - mdpi.com
For anomaly identification of predicted data in machinery condition monitoring, traditional threshold methods have problems during residual testing. It is difficult to make decisions …