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SUMMARY:Multivariate Analysis of Performance Parameters for Gas Turbine He
 alth Monitoring Purposes - Andrew Appleyard and Anastasios Tsalavoutas\, V
 ISIUMLAB™  Controls and Data Services Part of the Rolls-Royce Group
DTSTART:20150303T160000Z
DTEND:20150303T170000Z
UID:TALK57816@talks.cam.ac.uk
CONTACT:Stephanie North
DESCRIPTION:In this presentation the application of a multivariate analysi
 s technique for gas turbine engine health monitoring purposes will be disc
 ussed.\nGas turbines constitute complex systems that require adequate moni
 toring to ensure availability\, reliability and timely maintenance. A vari
 ety of engine health monitoring techniques has been proposed the last two 
 decades to accomplish these demanding tasks. Generally\, the proposed tech
 niques apply algorithms of different complexity and reasoning logic to det
 ect anomalies on the acquired operational data and assess engine condition
 . \nThe data typically gathered and analysed for engine health monitoring 
 purposes consist of gas path measurements\, e.g. pressure and temperature 
 at different locations\, vibrations and operational data of the oil system
 . These data sets are often highly dimensional\, correlated and non-casual
  in nature\, making data analysis a very challenging task. \nThe univariat
 e statistical process monitoring chart is a well-established methodology t
 o detect an abnormal behaviour within the engine by comparing analysed par
 ameters against upper and lower limits established from periods of normal 
 operation. However\, the application of such methods could result to an un
 acceptable rate of missed events or false alarms since the correlation of 
 the variables is ignored while the impact of influencing environmental fac
 tors is not accounted for. These issues can be addressed by applying a mul
 tivariate analysis technique capable of exploring the interrelation of the
  analysed parameters. The benefits of this approach will be demonstrated t
 hrough test cases examples.\n
LOCATION:MR14\, Centre for Mathematical Sciences
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