Research on Multi-Parameter Fault Early Warning for Marine Diesel Engine Based on PCA-CNN-BiLSTM
Yulong Su,
Huibing Gan,
Zhenguo Ji
Abstract:The safe operation of marine diesel engines (MDEs) is an important safeguard for ships and engine crews at sea. In this paper, a combined neural network prediction model (PCA-CNN-BiLSTM) is proposed for the problem of multi-parameter prediction and fault warning for MDEs. PCA is able to reduce the data dimensions and diminish the redundant information in the data, which helps to improve the training efficiency and generalization ability of the model. CNN can effectively extract spatial features from data, assi… Show more
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