Abstract
For the engine cells performance deterioration and fault diagnostics, the cells operation contributions to engine parameters changes are analyzed to account for the cells deterioration impact on parameters deviation to the EPR based baselines which are optimally modeled by polynomial regression method. The cells performance evaluation strategies for the engine type in this study are achieved through the WF-EGT, (N1-N2)-P25/P2, P3/P2-EGT linear correlation match and baseline deviation analysis and applied for verification.
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