Alarm Correlation Analysis for Redundant Alarm Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex system management, the high number of alarms generated by networked devices requires extensive support personnel to identify and troubleshoot issues, with redundant alarms consuming valuable time and resources, necessitating a strategy to reduce the number of alarms for efficient diagnosis.
Innovation Solution
A method to identify potentially redundant alarms through statistical correlation analysis between categories of alarms, where a coefficient of correlation is computed to determine coincidental occurrences within an incident interval, generating a list of alarm categories for further investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional alarm analysis methods are used requiring detailed knowledge of device interactions, then alarm diagnosis accuracy may be maintained, but support personnel time and resource consumption increases significantly
Solution Approach 1:
The patent introduces alarm categories as an intermediary layer between raw alarms and root cause analysis. By grouping alarms into categories and computing correlation coefficients between categories rather than analyzing individual alarms or requiring deep device knowledge, the system reduces the time burden on support personnel while maintaining diagnostic effectiveness through statistical patterns.
2Reliability
If all alarms are presented to support personnel for investigation, then complete system monitoring is achieved, but the number of redundant alarms increases investigation time and resource requirements
Solution Approach 1:
The patent extracts and identifies redundant alarms by computing correlation coefficients between alarm categories. Alarms belonging to categories with high correlation coefficients are identified as potentially redundant and can be excluded from requiring full investigation, thereby improving troubleshooting efficiency while maintaining reliable monitoring through statistical analysis.
3Measurement precision
If detailed analysis of interconnected devices and components is performed to identify redundant alarms, then accurate redundancy detection is achieved, but the complexity of the analysis process increases
Solution Approach 1:
The patent changes the analysis parameters from detailed device interaction knowledge to statistical correlation coefficients between alarm categories. This parameter transformation simplifies the analysis process by using computable statistical metrics rather than requiring complex domain knowledge of device interconnections, while still achieving accurate redundant alarm detection.
Data Source
AI summary
Methods, systems, and computer-readable media for identifying potentially redundant alarms based on a statistical correlation calculated between categories of alarms are provided. Each alarm in a compilation of alarm history data is assigned to an alarm category. A coefficient of correlation is computed between each distinct pair of alarm categories that indicates the probability that an alarm assigned to the second category of the pair occurs coincidentally within the alarm history data with an alarm assigned to the first category of the pair, given that an alarm assigned to the first category has occurred. Finally, a list of potentially redundant alarms is created consisting of pairs of alarm categories having a coefficient of correlation equal to or exceeding a threshold value.