Abstract: A method for monitoring engine performance includes sampling exhaust gas temperature associated with a turbine engine over an interval of operational time of the turbine engine. The method further includes applying a first test to identify statistical outliers on the sampled exhaust gas temperature data and removing identified statistical outliers from the sampled exhaust gas temperature data. Subsequently, the method includes applying a second test to identify step changes in slope of the exhaust gas temperature data and dividing the interval of operational time into one or more segments based upon the identified step changes. Finally, the method includes determining a slope for each segment and combining the segments to obtain a rate of performance deterioration of the turbine engine.

Abstract: A system and method for automatically interpreting a multi-threaded event log. A medical imaging device such as a magnetic resonance (MR) or computed tomography (CT) device records imaging data correlating to medical examinations. The imaging data is stored in an event log along with other data such as system errors and table movement. Certain useful information must be extracted from the event logs to provide useful reports for clinician review or further processing. The present system incorporates a state machine to extract useful information based on predefined conditions. The useful information is automatically extracted from the event log and stored in a reduced data set event log.