Dry clutch temperature prediction method based on dynamic neural network time sequence prediction
The invention discloses a dry clutch temperature prediction method based on dynamic neural network time series prediction, and the method employs the clutch temperature and time historical sample data to carry out modeling and prediction of the clutch temperature through employing the dynamic neural...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
28.05.2021
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Abstract | The invention discloses a dry clutch temperature prediction method based on dynamic neural network time series prediction, and the method employs the clutch temperature and time historical sample data to carry out modeling and prediction of the clutch temperature through employing the dynamic neural network time series prediction method. Firstly, data acquisition is carried out; data is trained, and a dynamic neural network time sequence model is created. clutch temperature is predicted on a future time sequence, a prediction result error is analyzed and reverse normalization is performed on prediction data; finally, a clutch temperature prediction model and a predicted value on a time sequence are acquired. Compared with a traditional test method and a finite element numerical simulation method for obtaining the temperature of the clutch, the invention has the advantages of being easy and convenient to implement, high in precision, low in cost and the like, has a memory function, is very suitable for process |
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AbstractList | The invention discloses a dry clutch temperature prediction method based on dynamic neural network time series prediction, and the method employs the clutch temperature and time historical sample data to carry out modeling and prediction of the clutch temperature through employing the dynamic neural network time series prediction method. Firstly, data acquisition is carried out; data is trained, and a dynamic neural network time sequence model is created. clutch temperature is predicted on a future time sequence, a prediction result error is analyzed and reverse normalization is performed on prediction data; finally, a clutch temperature prediction model and a predicted value on a time sequence are acquired. Compared with a traditional test method and a finite element numerical simulation method for obtaining the temperature of the clutch, the invention has the advantages of being easy and convenient to implement, high in precision, low in cost and the like, has a memory function, is very suitable for process |
Author | CHEN CAI GONG YUBING ZHENG XIANLING YIN YUTIAN ZHANG LIJIE XIANG ZHILI ZHOU HONGDA |
Author_xml | – fullname: ZHANG LIJIE – fullname: XIANG ZHILI – fullname: CHEN CAI – fullname: GONG YUBING – fullname: ZHOU HONGDA – fullname: ZHENG XIANLING – fullname: YIN YUTIAN |
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DocumentTitleAlternate | 基于动态神经网络时间序列预测的干式离合器温度预测法 |
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Snippet | The invention discloses a dry clutch temperature prediction method based on dynamic neural network time series prediction, and the method employs the clutch... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
Title | Dry clutch temperature prediction method based on dynamic neural network time sequence prediction |
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