Prognostics/Diagnostics for Gas Turbine Engine Bearings

摘要

Development of robust in-flight prognostics andrndiagnostics for oil wetted components in gas turbine enginesrnwill play a critical role in improving aircraft enginernreliability and maintainability. Real-time algorithms forrnpredicting and detecting bearing failures are currentlyrnbeing developed in parallel with emerging flight-capablernsensor technologies including in-line oil debris/conditionrnmonitors, and vibration analysis MEMS. . By utilizing arncombination of health monitoring data and model-basedrntechniques, a comprehensive component prognosticrncapability can be achieved throughout a components life,rnusing model-based estimates when no diagnostic indicatorsrnare present and monitored features such as oil debris andrnvibration at later stages when failure indications arerndetectable. Implementation of these oil-wetted componentrnprognostic modules will be illustrated in this paper usingrnbearing test stand run-to-failure data.