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所属单位：自动化学院
发表刊物：2017 6TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS (DDCLS)
关键字：Discrete Wavelet Transform Marine Diesel Engine Trend Prediction
摘要：In this paper, a multi-model data trend prediction method is proposed for marine diesel engine to the prognosis of faults. According to the data characteristics, the discrete wavelet transform is used to process the data, which can eliminate the noise of the high-frequency and retain the low-frequency signal. The auto-regression, the gray model, the BP neural network and the radial-based neural network methods are employed to trend prediction and the results are compared. In terms of convergence speed, the autoregressive model has the best performance of the fault prognosis. In terms of fitting error, the neural network model has the best accuracy.
是否译文：否
发表时间：2017-01-01
合写作者：Pan, Yifei,姚小泉,He, Xiao,Zhang, Yu
通讯作者：冒泽慧