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Titel:

Model-Based Approach to Generate Training Sequences for Discrete Event Anomaly Detection in Manufacturing

Autor(en):
Folmer, Jens; Vogel-Heuser, Birgit
Seitenangaben Beitrag:
151-156
Abstract:
"In the field of process control, more alarms are generated than can be physically addressed by a single operator, which is a significant problem. This situation is called an ""alarm ?ood"". Alarm floods occur because of badly designed alarm management systems (AMS) or causal dependent disturbances that raise multiple alarms based on only a single error. Functional dependent discrete alarm sequences can be modeled using the ""formalized process description"". Based on this model, dependent event...     »
Kongress- / Buchtitel:
IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control (CESCIT)
Kongress / Zusatzinformationen:
Würzburg, Deutschland
Jahr:
2012
Volltext / DOI:
doi:10.3182/20120403-3-DE-3010.00080
WWW:
nicht frei zugänglich
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