Assessment of Diesel Engine Valve Performance Degradation Status Based on Synchroextracting Enhanced Generalized S-transform
The operating status of diesel engine changes with the performance degradation of valve as the valve clearance gradually increases during operation.It is difficult to accurately assessment the performance degradation status of valve by traditional status assessment methods.A diesel engine valve performance degradation status assessment method based on synchroextracting enhanced generalized S-transform(SEEGST)is proposed.The vibration signal reflecting the status of diesel engine is collected by sensors.To solve the problems of low time-frequency resolution and weak energy aggregation in traditional signal time-frequency analysis methods,a SEEGST time-frequency analysis method is proposed based on the synchroextracting algorithm and generalized S-transform to convert the vibration signal into a two-dimensional time-frequency map.MLP-Mixer model is used to extract the time-frequency image features for training,thus realizing the assessment of diesel engine status.The proposed method is compared with five traditional methods,namely SSGST-MLPMixer,GST-MLPMixer,SEEGST-ViT,SEEGST-2DCNN and FFT spectrum-1DCNN,by conducting the valve performance degradation experiment on a diesel engine status monitoring test bench.The experimental results show that the overall assessment accuracy of the proposed method reaches 98.96%,which can be effectively applied to the diesel engine valve performance degradation status assessment and provides a new idea for conducting the diesel engine valve performance degradation status assessment.
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