Clustering of Similar Historical Alarm Subsequences in Industrial Control Systems Using Alarm Series and Characteristic Coactivations

Alarm flood similarity analysis (AFSA) methods are frequently used as a primary step for root-cause analysis, alarm flood pattern mining, and online operator support. AFSA methods have been promoted in several research activities in recent years. However, addressing an often-observed ambiguity of th...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.154965-154974
Hauptverfasser:	Manca, Gianluca, Dix, Marcel, Fay, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormal situations alarm analysis alarm floods alarm management Alarms Ambiguity Clustering Control systems Data mining Dimensionality reduction Floods industrial alarm systems Industrial electronics industrial process diagnosis Measurement Outliers (statistics) Pattern analysis Process control Root cause analysis Task analysis Tennessee-Eastman-Process Time series analysis
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