Real-time pattern matching and ranking for early prediction of industrial alarm floods

MR Parvez, W Hu, T Chen - Control Engineering Practice, 2022 - Elsevier
Early prediction of an incoming alarm flood sequence can provide valuable information to
industrial operators, so as to facilitate taking corrective actions in time. A real-time pattern …

A data-driven alarm and event management framework

P Goel, EN Pistikopoulos, MS Mannan… - Journal of Loss Prevention …, 2019 - Elsevier
Industrial systems are monitored and controlled by sensors and actuators. The signals from
these instruments are mostly configured as alarms in the control system which alerts the …

Establishing a time series trend structure model to mine potential hydrological information from hydrometeorological time series data

J Yao, P Wang, G Wang, S Shrestha, B Xue… - Science of The Total …, 2020 - Elsevier
This paper addresses the problem of missing latent time series information caused by the
differences in the analysis of time series data and non-time series data. A time series trend …

Detection of historical alarm subsequences using alarm events and a coactivation constraint

G Manca, A Fay - IEEE Access, 2021 - ieeexplore.ieee.org
This paper aims to provide an in-depth study of the detection of historical alarm
subsequences, which are frequently used as an initial step for alarm flood analysis methods …

Research on Alarm Reduction of Intrusion Detection System Based on Clustering and Whale Optimization Algorithm

L Wang, L Gu, Y Tang - Applied Sciences, 2021 - mdpi.com
With the frequent occurrence of network security events, the intrusion detection system will
generate alarm and log records when monitoring the network environment in which a large …

Based technique for univariate alarm systems and its application to mixture distributions

A Valipoori, G Latif-Shabgahi, I Izadi - Industrial & Engineering …, 2021 - ACS Publications
Alarm systems play a significant role in ensuring safety and preventing incidents in industrial
plants. Since a mixture distribution can model every unknown distribution function, this …

Detection of correlated alarms using graph embedding

H Khaleghy, I Izadi - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
Industrial alarm systems have recently progressed considerably in terms of network
complexity and the number of alarms. The increase in complexity and number of alarms …

Analytical derivation and comparison of alarm similarity measures

AH Kargaran, A Neshastegaran, I Izadi, E Yazdian - IFAC-PapersOnLine, 2021 - Elsevier
An industrial process includes many devices, variables, and sub-processes that are
physically or electronically interconnected. These interconnections imply some level of …

An efficient method to discover association rules of mode-dependent alarms based on the FP-growth algorithm

KR Wang, W Hu, T Chen - 2020 IEEE Electric Power and …, 2020 - ieeexplore.ieee.org
State-based alarming is an advanced technique to reduce nuisance alarms and alarm
floods by suppressing alarms associated with certain conditions or operating modes. To …

A Framework for Plant Topology Extraction Using Process Mining and Alarm Data

A Neshastegaran, A Norouzifar… - 2022 30th International …, 2022 - ieeexplore.ieee.org
Industrial plants are prone to faults. To notify the operator of a fault occurrence, alarms are
utilized as a basic part of modern computer-controlled plants. However, due to the …