Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life PredictionOACSCDCSTPCDEI
Accurate remaining useful life(RUL)prediction is important in industrial systems.It prevents machines from working under failure conditions,and ensures that the industrial system works reliably and efficiently.Recently,many d…查看全部>>
Ruibing Jin;Min Wu;Keyu Wu;Kaizhou Gao;Zhenghua Chen;Xiaoli Li
Institute for Infocomm Research,Agency for Science,Technology and Research(A*STAR),Singapore 138632,SingaporeInstitute for Infocomm Research,Agency for Science,Technology and Research(A*STAR),Singapore 138632,SingaporeInstitute for Infocomm Research,Agency for Science,Technology and Research(A*STAR),Singapore 138632,SingaporeSchool of Computer Science,Liaocheng University,Liaocheng 252000 Macao Institute of System Engineering,Macao University of Science and Technology,Taipa,Macao 999078,ChinaInstitute for Infocomm Research,Agency for Science,Technology and Research(A*STAR),Singapore 138632,SingaporeInstitute for Infocomm Research,Agency for Science,Technology and Research(A*STAR),Singapore 138632,Singapore
计算机与自动化
Convolutional neural network(CNN)deep learningposition encodingremaining useful life prediction
《自动化学报：英文版》 2022 (8)
P.1427-1439,13
supported by National Research Foundation of Singapore,AME Young Individual Research Grant(A2084c0167)。
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