Fault diagnosis method for engine gas path components based on Inception-CBAM model
A fault diagnosis method based on Inception-CBAM model is proposed to diagnose the faults in gas path components of aero-engine.The diagnosis model incorporates an three-branch Inception module,which extracts engine features from sensor data with receptive field of different sizes.Each branch contains a CBAM module that adaptively adjusts feature weights.And the subsequent flattening layer furtherly concatenate the three parallel branches.Finally,the fault diagnosis results are output through two fully connected layers and a Softmax layer.The Inception-CBAM model was compared with CNN model,Inception model and Inception-SE model in a simulation experiment.The experimental results show that the proposed model has better fault diagnosis performance.
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