Similarity Analysis of Industrial Alarm Flood Data
Kabir Ahmed, Iman Izadi, Tongwen Chen, D.G.J.T. Tjin Wong Joe, Tim Burton · IEEE Transactions on Automation Science and Engineering · 2013
Flooding of alarms is a very crucial problem in process industries. An alarm flood makes an operator ineffective of taking necessary actions, and often risking an emergency shutdown or a major upset. In this work, the flooding of alarms is discussed based on the standards presented in ISA 18.2. A new analysis method is proposed to investigate similar alarm floods from the historic alarm data and group them on the basis of the patterns of alarm occurrences. A case study on real industrial alarm data is also presented to demonstrate the utility of the proposed analysis.