METHOD FOR THE MACHINE LEARNING OF FREQUENT CHRONICLES IN AN ALARM LOG FOR THE MONITORING OF DYNAMIC SYSTEMS

摘要

The invention relates to a method for the machine learning of frequent chronicles in a log of alarms from a dynamic system, for the monitoring of said system, and a learning system which is used to carry out the method in a monitoring system. According to the invention, sequences of alarms (51) are selected S1, S2,..., Sp from an alarm log J (50) and reorganised (52) into groups of similar sequences G1, G2,..., Gr. The alarms from the groups are then used to produce (53) partial logs J1, J2, , Jr. Subsequently, chronicle learning is performed (54) on each transmitted partial log Ji, and the partial set Ei of the frequent chronicles from Ji is determined (55). Finally, a set E of chronicles from log J is formed (56) with chronicles from different partial sets Ei.