Transformer-based Alarm Context-Vectorization Representation for Reliable Alarm Root Cause Identification in Optical Networks
Jinwei Jia, Danshi Wang, Chunyu Zhang, Hui Yang, Luyao Guan, Xue Chen, Min Zhang
Abstract
A Transformer-based alarm context-vectorization representation technique is proposed for alarm root cause identification and correlation analysis. Three common root alarms are identified with an accuracy of 94.47%, and other correlated alarms are obtained with quantified correlation degrees.
Topics & Concepts
ALARMComputer scienceRoot causeRoot cause analysisVectorization (mathematics)TransformerContext (archaeology)Representation (politics)Root (linguistics)Artificial intelligenceIdentification (biology)Pattern recognition (psychology)False alarmParallel computingEngineeringReliability engineeringPolitical scienceVoltageElectrical engineeringLawPhilosophyBotanyBiologyPoliticsAerospace engineeringLinguisticsPaleontologySoftware System Performance and ReliabilityAnomaly Detection Techniques and ApplicationsFault Detection and Control Systems