Abstract
ABSTRACT To improve the prediction accuracy of vibration signals from marine diesel engines, a novel method is proposed. This method utilises the rime optimisation algorithm (RIME) to select the variable modal decomposition (VMD) parameters for data reconstruction in order to optimise the bidirectional gated recirculation unit (BIGRU). The RIME-VMD-BIGRU model employs sample entropy as the fitness function. RIME determines the optimal k and α values for VMD, and the vibration signals are decomposed into subsequences. After noise reduction, these subsequences are reconstructed. A BIGRU prediction model is then built for the reconstructed components. The prediction results of these components are combined to provide vibration prediction. Case studies show that the proposed model achieves smaller prediction errors and higher accuracy compared to other models. It effectively provides early warnings for diesel engine vibration signals.
Published Version
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