DISCOVERY OF INTERMINGLED EVENT PATTERNS IN DISCRETE MONITORING DATA

Abstract This paper considers the discovery and detection of repeating patterns in event sequence data, where the event patterns may be of variable duration, may be intermingled, and may be of variable length. These properties are characteristic of many types of monitoring and diagnostic alarm sequence data, and may be used in detecting both normal and abnormal behaviours of complex dynamic systems.