Compressor Performance Modeling and Prognostics Using Artificial Neural Networks

Data collected routinely from engine operation is used to construct a compressor performance map through regression modeling using Artificial Neural Network Ensembles (ANNEs). Such a map can be updated frequently and accessed in real time to detect shifts in the compressor performance. Such shifts can be indicators of degradation, maintenance issues, and impending faults. Updating the map can provide dynamic updates to the operating limits for compressor operation in the engine controller to steer clear of the surge line. Additionally, the resulting model could be used to estimate remaining useful life.