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Foreign Object Damage Identification in Turbine Engines

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Technical Report

Corporate Author:

National Aeronautics and Space Administration Cleveland

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This report summarizes the collective work of a five-person team from different organizations examining the problem of detecting foreign object damage FOD events in turbofan engines from gas path thermodynamic and bearing accelerometer sensors, and determining the severity of damage to each component diagnosis. Several detection and diagnostic approaches were investigated and a software tool FODID was developed to assist researchers detectdiagnose FOD events. These approaches include 1 fan efficiency deviation computed from upstream and downstream temperaturepressure measurements, 2 gas path weighted least squares estimation of component health parameter deficiencies,3 Kalman filter estimation of component health parameters, and 4 use of structural vibration signal processing to detect both large and small FOD events. The last three of these approaches require a significant amount of computation in conjunction with a physics-based analytic model of the underlying phenomenonthe NPSS thermodynamic cycle code for approaches 1 to 3 and the DyRoBeS reduced-order rotor dynamics code for approach 4. A potential application of the FODID software tool, in addition to its detectiondiagnosis role, is using its sensitivity results to help identify the best types of sensors and their optimum locations within the gas path, and similarly for bearing accelerometers.

Subject Categories:

  • Safety Engineering
  • Miscellaneous Detection and Detectors

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