PROBLEMS OF REDUNDANT ALARMS IN DISTRIBUTED CONTROL SYSTEMS AND METHODS FOR THEIR IDENTIFICATION
Authors:
1.
Kazan National Research Technological University
2.
Kazan National Research Technological University
Kazan, Russian Federation
Kazan, Russian Federation
3.
KNITU; KNRTU
4.
Kazan National Research Technological University
Type:
Article
Pages:
from 118
to 123
Status:
Published
Received:
28.01.2026
Accepted:
28.01.2026
Published:
28.01.2026
Language:
Russian
Keywords:
ICSS, ALARM, ALARM SYSTEM, RATIONALIZATION, CONTROL EFFICIENCY, BIG DATA, DIAGNOSTICS, REDUNDANT ALARM, ALARM PHILOSOPHY, NUISANCE ALARM
Abstract:
The increasing number of alarms in modern control systems creates significant challenges for information perception and event processing by operators. Excessive and improperly configured alarms generate informational noise, reduce decision-making efficiency, and complicate the identification of root causes of deviations. This article classifies the main types of nuisance alarms: chattering, fleeting, flood, active, and duplicate alarms. For each type, characteristic features and potential causes are discussed, including technical and design-related factors. Special attention is given to the challenges in applying the standard GOST R IEC 62682-2019, particularly translation inaccuracies of the international standard ISA 18.2, which distort the understanding of the rationalization stage and proper alarm documentation. To address alarm identification, an analytical approach to large volumes of historical data is applied, including time series analysis, correlation analysis, and set similarity evaluation. These methods allow detection of chattering, fleeting, duplicate, and flood alarms, as well as optimization of alarm structures to enhance informativeness. The proposed approaches provide an objective basis for identifying non-informative alarms, reducing operator overload, and forming corporate guidelines for alarm management. The results serve as a foundation for further rationalization of alarms and analysis of their interrelationships in complex systems.
The increasing number of alarms in modern control systems creates significant challenges for information perception and event processing by operators. Excessive and improperly configured alarms generate informational noise, reduce decision-making efficiency, and complicate the identification of root causes of deviations. This article classifies the main types of nuisance alarms: chattering, fleeting, flood, active, and duplicate alarms. For each type, characteristic features and potential causes are discussed, including technical and design-related factors. Special attention is given to the challenges in applying the standard GOST R IEC 62682-2019, particularly translation inaccuracies of the international standard ISA 18.2, which distort the understanding of the rationalization stage and proper alarm documentation. To address alarm identification, an analytical approach to large volumes of historical data is applied, including time series analysis, correlation analysis, and set similarity evaluation. These methods allow detection of chattering, fleeting, duplicate, and flood alarms, as well as optimization of alarm structures to enhance informativeness. The proposed approaches provide an objective basis for identifying non-informative alarms, reducing operator overload, and forming corporate guidelines for alarm management. The results serve as a foundation for further rationalization of alarms and analysis of their interrelationships in complex systems.
Keywords:
ICSS, ALARM, ALARM SYSTEM, RATIONALIZATION, CONTROL EFFICIENCY, BIG DATA, DIAGNOSTICS, REDUNDANT ALARM, ALARM PHILOSOPHY, NUISANCE ALARM
ICSS, ALARM, ALARM SYSTEM, RATIONALIZATION, CONTROL EFFICIENCY, BIG DATA, DIAGNOSTICS, REDUNDANT ALARM, ALARM PHILOSOPHY, NUISANCE ALARM
