Root cause identification of industrial alarm floods using word embedding and few-shot learning

W Hu, G Yang, Y Li, W Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Alarm systems are commonly deployed in modern industrial facilities to monitor process
operations. However, due to the presence of nuisance alarms and alarm floods, their …

Early classification of industrial alarm floods based on semisupervised learning

HS Alinezhad, J Shang, T Chen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Early classification of ongoing alarm floods in industrial monitoring systems is crucial to
provide a safe and efficient operation. It can provide online decision support for plant …

A modified bag-of-words representation for industrial alarm floods

HS Alinezhad, J Shang, T Chen - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Alarm floods pose a serious threat to the safety of complex industrial plants by overloading
an operator's cognitive abilities with a large number of alarms in a short period of time …

Similarity analysis of industrial alarm floods based on word embedding and move-split-merge distance

X Zhang, W Hu, AW Al-Dabbagh… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
In industrial facilities, alarm systems are essential for process monitoring. However, due to
the simplicity of alarm configuration and the poor performance of the alarm system, alarm …

Process alarm prediction using deep learning and word embedding methods

S Cai, A Palazoglu, L Zhang, J Hu - ISA transactions, 2019 - Elsevier
Industrial alarm systems play an essential role for the safe management of process
operations. With the increase in automation and instrumentation of modern process plants …

Auxiliary information-guided industrial data augmentation for any-shot fault learning and diagnosis

Y Zhuo, Z Ge - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
The label scarcity problem widely exists in industrial processes. In particular, samples of
some fault types are extremely rare; even worse, the samples of certain faults cannot be …

Open set online classification of industrial alarm floods with alarm ranking

HS Alinezhad, J Shang, T Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Alarm floods can cause serious safety problems in complex industrial plants by
overwhelming a plant operator with many alarm annunciations in a short time interval. In a …

Structure feature extraction for hierarchical alarm flood classification and alarm prediction

C Tian, P Song, C Zhao, J Ding - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Alarm flood classification and alarm prediction are significant ways to assist the on-site
operators to manage alarm floods and maintain process safety. The two tasks are …

DAFS: a domain aware few shot generative model for event detection

N Xia, H Yu, Y Wang, J Xuan, X Luo - Machine Learning, 2023 - Springer
More and more, large-scale pre-trained models show apparent advantages in solving the
event detection (ED), ie, a task to solve the problem of event classification by identifying …

Generalized pattern matching of industrial alarm flood sequences via word processing and sequence alignment

B Zhou, W Hu, K Brown, T Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Analyzing alarm floods in a large-scale industrial facility is a sophisticated task, because of
too many fault types and their associated consequential alarms. However, there exist similar …