TY - GEN
T1 - Detection of temporal dependencies in alarm time series of industrial plants
AU - Folmer, Jens
AU - Schuricht, Falk
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© IFAC.
PY - 2014
Y1 - 2014
N2 - Concerning industrial plants, operators face the problem that more alarms are generated than can be physically perceived and addressed by a single operator. Such a situation is called alarm flood. The main reason for alarm floods are causally related disturbances, which either way raise an alarm, based on a single causal disturbance. These dependencies are difficult to recognize during the engineering of an AMS (Alarm Management System). However, the alarms are logged and stored as time series (historical data). Information about the alarm types and the time stamps of their occurrence can be used to analyze the time series data and thus finding dependencies between different alarms. This contribution presents an approach to find temporal dependencies between alarm events in an alarm time series. Therefore an algorithm was designed, implemented, and evaluated to detect temporal dependencies in alarm time series.
AB - Concerning industrial plants, operators face the problem that more alarms are generated than can be physically perceived and addressed by a single operator. Such a situation is called alarm flood. The main reason for alarm floods are causally related disturbances, which either way raise an alarm, based on a single causal disturbance. These dependencies are difficult to recognize during the engineering of an AMS (Alarm Management System). However, the alarms are logged and stored as time series (historical data). Information about the alarm types and the time stamps of their occurrence can be used to analyze the time series data and thus finding dependencies between different alarms. This contribution presents an approach to find temporal dependencies between alarm events in an alarm time series. Therefore an algorithm was designed, implemented, and evaluated to detect temporal dependencies in alarm time series.
KW - Alarm systems
KW - Data processing
KW - Delay analysis
KW - Manufacturing processes
KW - Process automation
KW - Timing series analysis
UR - http://www.scopus.com/inward/record.url?scp=84929832391&partnerID=8YFLogxK
U2 - 10.3182/20140824-6-za-1003.01897
DO - 10.3182/20140824-6-za-1003.01897
M3 - Conference contribution
AN - SCOPUS:84929832391
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 1802
EP - 1807
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -