Abstract
Alarm analysis aims to group similar and frequently occurring alarm sequences in alarm clusters. These clusters are so far identified by data-driven approaches based on the historical alarm data. To improve the alarm analysis, especially the handling of alarm floods, additional information can be integrated into state of the art alarm analysis approaches. This additional information consists of plant and process information, which improves the identification and detection of alarm clusters. Information such as neighborly relations of alarm sources or the heat transmission between two not directly connected alarm sources, improve the identification of alarm clusters. The handling of unknown alarms, which occur during runtime, and the assignment to known alarms and additionally to identified alarm clusters can be supported by process and plant information as well. Based on the combination of alarm analysis approaches and the evaluation of process and plant information, it seems feasible to identify causal coherent alarms within alarm floods. This improvement supports the plant operator to handle the abnormal situation by a reduction of the occurring alarms and information about the causal relations between alarms.
Zusammenfassung
Mit Hilfe der Analyse von Alarmen wird angestrebt, sich wiederholende Alarmsequenzen zu identifizieren, bisher typischerweise mit datengetriebenen Methoden auf Basis der Alarm-Historie. Um Alarme noch besser ein- und zuordnen zu können, kann zusätzliche Information über die Anlage bzw. den darin ablaufenden Prozess herangezogen werden. Damit besteht die Möglichkeit, kausal zusammenhängende Alarme zu identifizieren und zu gruppieren, auch wenn diese nicht in gleicher Reihenfolge wie in früheren Fällen auftreten. Ziel ist die bessere Unterstützung von Anlagenfahrern, insbesondere im Fall von Alarmschauern.
About the authors
M. Sc. Feras El Sakka (born 1990) is a research associate at the Institute of Automation Technology at Helmut-Schmidt-University Hamburg. His main research area is the design of modeling languages and the conception of methods for a seamless data exchange over the lifecycle of automated production systems. He is an active member of the ad-hoc working group to revise NAMUR NA 35 and the VDI/VDE GMA FA 6.12.
M. Sc. Henry Bloch (born 1988) is a research associate at the Institute of Automation Technology at Helmut-Schmidt-University Hamburg. His main area of research is modular process automation. He is an active member of the joint standardization working groups of NAMUR and ZVEI as well as the VDI/VDE GMA FA 5.16.
Jakob Kinghorst (born 1990) was a research assistant at the Institute of Automation and Information (AIS) at Technical University of Munich (TUM). He received his M. Sc. degree from Technical University of Munich, Munich, Germany, in mechanical engineering. His main research interests are condition monitoring, big data analysis and predictive maintenance.
Mina Fahimi Pirehgalin (born 1984) is a research assistant at the Institute of Automation and Information (AIS) at Technical University of Munich (TUM). She received her M. Sc. degree from K. N. Toosi University of Technology, Tehran, Iran, in Artificial Intelligence, Computer Engineering. Her main research interests are big data analysis, machine learning methods, optimization and agent-based systems.
Prof. Dr.-Ing. Alexander Fay (born 1970) is Director of the Institute of Automation Technology at Helmut Schmidt University Hamburg. His main research interests are models, methods, and tools for the efficient engineering of distributed automation systems. Prof. Fay also heads the division “Engineering and operation of automated plants” in the German association for Measurement and Automation (VDI-/VDE-GMA).
Prof. Dr.-Ing. Birgit Vogel-Heuser graduated in electrical engineering and received the Ph. D. in mechanical engineering from the RWTH Aachen in 1991. She worked for nearly ten years in industrial automation in the machine and plant manufacturing industry. After holding different chairs of automation she has been head of the Institute of Automation and Information Systems at the Technical University of Munich since 2009. Her research work is focused on modeling and education in automation engineering for distributed and intelligent systems.
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