Direct online measurement on product quality of industrial processes is difficult to be realized,which leads to a large number of unlabeled samples in modeling data.Therefore,it needs to employ semi-supervised learnin...Direct online measurement on product quality of industrial processes is difficult to be realized,which leads to a large number of unlabeled samples in modeling data.Therefore,it needs to employ semi-supervised learning(SSL)method to establish the soft sensor model of product quality.Considering the slow time-varying characteristic of industrial processes,the model parameters should be updated smoothly.According to this characteristic,this paper proposes an online adaptive semi-supervised learning algorithm based on random vector functional link network(RVFLN),denoted as OAS-RVFLN.By introducing a L2-fusion term that can be seen a weight deviation constraint,the proposed algorithm unifies the offline and online learning,and achieves smoothness of model parameter update.Empirical evaluations both on benchmark testing functions and datasets reveal that the proposed OAS-RVFLN can outperform the conventional methods in learning speed and accuracy.Finally,the OAS-RVFLN is applied to the coal dense medium separation process in coal industry to estimate the ash content of coal product,which further verifies its effectiveness and potential of industrial application.展开更多
Aging treatments in the temperature range of 1000 to 1200 ℃ for different time intervals（10,30,and 60 min）in a solution-treated 2205 duplex stainless steel（DSS）are carried out respectively.The migration of γ/α ...Aging treatments in the temperature range of 1000 to 1200 ℃ for different time intervals（10,30,and 60 min）in a solution-treated 2205 duplex stainless steel（DSS）are carried out respectively.The migration of γ/α interface boundary after different aging treatments is measured by optical metallograph and calculated by DICTRA software.The experimental results are in agreement with calculated ones.The migration of γ/α interface boundary with increased keeping time depends on the chemical potential of chromium in each phase.At aging temperature of 1100 ℃,the back diffusion effect of chromium results in the opposite direction migration of γ/α interface.Therefore,the ferrite volume fraction is lower at first and then it is higher after 1800 s diffusion.展开更多
基金Projects(61603393,61973306)supported in part by the National Natural Science Foundation of ChinaProject(BK20160275)supported by the Natural Science Foundation of Jiangsu Province,China+1 种基金Projects(2015M581885,2018T110571)supported by the Postdoctoral Science Foundation of ChinaProject(PAL-N201706)supported by the Open Project Foundation of State Key Laboratory of Synthetical Automation for Process Industries of Northeastern University,China
文摘Direct online measurement on product quality of industrial processes is difficult to be realized,which leads to a large number of unlabeled samples in modeling data.Therefore,it needs to employ semi-supervised learning(SSL)method to establish the soft sensor model of product quality.Considering the slow time-varying characteristic of industrial processes,the model parameters should be updated smoothly.According to this characteristic,this paper proposes an online adaptive semi-supervised learning algorithm based on random vector functional link network(RVFLN),denoted as OAS-RVFLN.By introducing a L2-fusion term that can be seen a weight deviation constraint,the proposed algorithm unifies the offline and online learning,and achieves smoothness of model parameter update.Empirical evaluations both on benchmark testing functions and datasets reveal that the proposed OAS-RVFLN can outperform the conventional methods in learning speed and accuracy.Finally,the OAS-RVFLN is applied to the coal dense medium separation process in coal industry to estimate the ash content of coal product,which further verifies its effectiveness and potential of industrial application.
基金Item Sponsored by National Natural Science Foundation of China(5067106150971137)
文摘Aging treatments in the temperature range of 1000 to 1200 ℃ for different time intervals（10,30,and 60 min）in a solution-treated 2205 duplex stainless steel（DSS）are carried out respectively.The migration of γ/α interface boundary after different aging treatments is measured by optical metallograph and calculated by DICTRA software.The experimental results are in agreement with calculated ones.The migration of γ/α interface boundary with increased keeping time depends on the chemical potential of chromium in each phase.At aging temperature of 1100 ℃,the back diffusion effect of chromium results in the opposite direction migration of γ/α interface.Therefore,the ferrite volume fraction is lower at first and then it is higher after 1800 s diffusion.
