Risk Analysis using Large Alarm Databases
نویسندگان
چکیده
In this work, our methods for the dynamic risk analysis of large alarm databases [1-3], previously tested on a fluidized catalytic cracking unit (FCCU), are extended and tested using data over three years from a steam-methane reformer (SMR) unit at Air Liquide. This paper also introduces methods of providing online estimates that alert operators to potentially serious safety problems. The estimates permit the operators to make adjustments that avoid trips and accidents.
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