In order to eliminate the impact of the delay between measured data on the real-time and soft measurement of methane slip concentration monitoring process for marine dual-fuel low-speed engines,a soft measurement method of methane slip concentrations for dual-fuel low-speed marine engines based on long short-term memory(LSTM)neural network and mutual information(MI)was proposed.Auxiliary variable selection and variable time delay calculation were performed using mutual information.The preprocessed data was imported into the LSTM model to predict the methane slip concentration.Finally,the historical data from a methane slip processing system of a dual-fuel low-speed engine was used to test the performance of the proposed model.The experimental results show that the model based on LSTM and mutual information has good predictive ability.The method is proved to be effective by experiments,which can provide an effective method for monitoring the methane slip concentrations for dual-fuel low-speed marine engines.
关键词
长短时记忆神经网络/互信息/软测量/甲烷逃逸/双燃料发动机
Key words
long short-term memory(LSTM)neural network/mutual information/soft measurement/methane slip/dual-fuel engine
维普
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