Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have no...Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have not considered that the argument values may vary from profile to profile,which is common in practice.A novel nonparametric control scheme based on profile error is proposed for monitoring nonlinear profiles with varied argument values.The proposed scheme uses the metrics of profile error as the statistics to construct the control charts.More details about the design of this nonparametric scheme are also discussed.The monitoring performance of the combined control scheme is compared with that of alternative nonparametric methods via simulation.Simulation studies show that the combined scheme is effective in detecting parameter error and is sensitive to small shifts in the process.In addition,due to the properties of the charting statistics,the out-of-control signal can provide diagnostic information for the users.Finally,the implementation steps of the proposed monitoring scheme are given and applied for monitoring the blade manufacturing process.With the application in blade manufacturing of aircraft engines,the proposed nonparametric control scheme is effective,interpretable,and easy to apply.展开更多
The coherent muon-to-electron transition(COMET)experiment is a leading experiment for the coherent conversion of μ^(-)N→e^(-)N using a high-intensity pulsed muon beamline,produced using innovative slow-extraction te...The coherent muon-to-electron transition(COMET)experiment is a leading experiment for the coherent conversion of μ^(-)N→e^(-)N using a high-intensity pulsed muon beamline,produced using innovative slow-extraction techniques.Therefore,it is critical to measure the muon beam characteristics.We set up a muon beam monitor(MBM),where scintillating fibers woven in a cross shape were coupled to silicon photomultipliers to measure the spatial profile and timing structure of the extracted muon beam for the COMET.The MBM detector was tested successfully with a proton beamline at the China Spallation Neutron Source and took data with good performance in the commissioning run.The development of the MBM,including its mechanical structure,electronic readout,and beam measurement results,are discussed.展开更多
The province of Fujian on China’s southeast coast is severely impacted by typhoons.Based on coastal profile monitoring and 40 years of satellite data,this paper analyzed the response of coastal profiles to natural an...The province of Fujian on China’s southeast coast is severely impacted by typhoons.Based on coastal profile monitoring and 40 years of satellite data,this paper analyzed the response of coastal profiles to natural and anthropogenic forces along the northern part of Fujian’s coast.Results indicated that the pattern of coastal evolution differed largely on cross-shore profiles and longshore coastlines.Only a few sandy coasts were severely affected by extreme weather events in summer,such as typhoons and storm surges,which may result from the wind direction relative to the coast.The cross-shore profiles changed drastically while the mean high-water coastline remained stable.In contrast,anthropogenic forces had a dual effect due to artificial sand extraction and reclamation.Artificial sand extraction usually occurred on sandy coasts,resulting in a decrease in some local surface profiles of tens of centimeters to metres in two years.Reclamation had the main impact on muddy coasts,especially in bays,causing seaward progradation during the past 40 years.The impacts of human activities on muddy coasts were far greater than natural factors.Findings from our coastal monitoring study for both sandy and muddy coasts provide an important scientific basis for practical applications,such as Fujian coastal protection,coastal zone exploitation,and utilization planning.展开更多
The dysbiosis of gut microbiota is associated with the pathogenesis of human diseases.However,observing shifts in the microbe abundance cannot fully reveal underlying perturbations.Examining the relationship alteratio...The dysbiosis of gut microbiota is associated with the pathogenesis of human diseases.However,observing shifts in the microbe abundance cannot fully reveal underlying perturbations.Examining the relationship alterations(RAs)in the microbiome between health and disease statuses provides additional hints about the pathogenesis of human diseases,but no methods were designed to detect and quantify the RAs between different conditions directly.Here,we present profile monitoring for microbial relationship alteration(PM2 RA),an analysis framework to identify and quantify the microbial RAs.The performance of PM2 RA was evaluated with synthetic data,and it showed higher specificity and sensitivity than the co-occurrence-based methods.Analyses of real microbial datasets showed that PM2 RA was robust for quantifying microbial RAs across different datasets in several diseases.By applying PM2 RA,we identified several novel or previously reported microbes implicated in multiple diseases.PM2 RA is now implemented as a web-based application available at http://www.pm2 ra-xingyinliulab.cn/.展开更多
基金supported by National Natural Science Foundation of China (Grant No. 70931004,Grant No. 70802043)
文摘Profile monitoring is used to check the stability of the quality of a product over time when the product quality is best represented by a function at each time point.However,most previous monitoring approaches have not considered that the argument values may vary from profile to profile,which is common in practice.A novel nonparametric control scheme based on profile error is proposed for monitoring nonlinear profiles with varied argument values.The proposed scheme uses the metrics of profile error as the statistics to construct the control charts.More details about the design of this nonparametric scheme are also discussed.The monitoring performance of the combined control scheme is compared with that of alternative nonparametric methods via simulation.Simulation studies show that the combined scheme is effective in detecting parameter error and is sensitive to small shifts in the process.In addition,due to the properties of the charting statistics,the out-of-control signal can provide diagnostic information for the users.Finally,the implementation steps of the proposed monitoring scheme are given and applied for monitoring the blade manufacturing process.With the application in blade manufacturing of aircraft engines,the proposed nonparametric control scheme is effective,interpretable,and easy to apply.
基金supported in part by Fundamental Research Funds for the Central Universities(23xkjc017)at Sun Yat-sen Universitythe National Natural Science Foundation of China(No.12075326)JSPS KAKENHI(No.22H00139)。
文摘The coherent muon-to-electron transition(COMET)experiment is a leading experiment for the coherent conversion of μ^(-)N→e^(-)N using a high-intensity pulsed muon beamline,produced using innovative slow-extraction techniques.Therefore,it is critical to measure the muon beam characteristics.We set up a muon beam monitor(MBM),where scintillating fibers woven in a cross shape were coupled to silicon photomultipliers to measure the spatial profile and timing structure of the extracted muon beam for the COMET.The MBM detector was tested successfully with a proton beamline at the China Spallation Neutron Source and took data with good performance in the commissioning run.The development of the MBM,including its mechanical structure,electronic readout,and beam measurement results,are discussed.
基金funded by the NSFC-Shandong Joint Fund for Marine Science Research Centers(U1606401)the Laboratory for Marine Geology,Qingdao National Laboratory for Marine Science and Technology(No.MGQNLM201709)+1 种基金the China Postdoctoral Science Foundation(No.2016M600558)the China Geological Survey(No.DD20160137).
文摘The province of Fujian on China’s southeast coast is severely impacted by typhoons.Based on coastal profile monitoring and 40 years of satellite data,this paper analyzed the response of coastal profiles to natural and anthropogenic forces along the northern part of Fujian’s coast.Results indicated that the pattern of coastal evolution differed largely on cross-shore profiles and longshore coastlines.Only a few sandy coasts were severely affected by extreme weather events in summer,such as typhoons and storm surges,which may result from the wind direction relative to the coast.The cross-shore profiles changed drastically while the mean high-water coastline remained stable.In contrast,anthropogenic forces had a dual effect due to artificial sand extraction and reclamation.Artificial sand extraction usually occurred on sandy coasts,resulting in a decrease in some local surface profiles of tens of centimeters to metres in two years.Reclamation had the main impact on muddy coasts,especially in bays,causing seaward progradation during the past 40 years.The impacts of human activities on muddy coasts were far greater than natural factors.Findings from our coastal monitoring study for both sandy and muddy coasts provide an important scientific basis for practical applications,such as Fujian coastal protection,coastal zone exploitation,and utilization planning.
基金supported by the National Natural Science Foundation of China(Grant Nos.81671983 and 81871628)the Natural Science Funding from Jiangsu province,China(Grant No.BK20161572)+1 种基金the starting package from Nanjing Medical University,Chinathe starting funding for the team of gut microbiota research in Nanjing Medical University,China
文摘The dysbiosis of gut microbiota is associated with the pathogenesis of human diseases.However,observing shifts in the microbe abundance cannot fully reveal underlying perturbations.Examining the relationship alterations(RAs)in the microbiome between health and disease statuses provides additional hints about the pathogenesis of human diseases,but no methods were designed to detect and quantify the RAs between different conditions directly.Here,we present profile monitoring for microbial relationship alteration(PM2 RA),an analysis framework to identify and quantify the microbial RAs.The performance of PM2 RA was evaluated with synthetic data,and it showed higher specificity and sensitivity than the co-occurrence-based methods.Analyses of real microbial datasets showed that PM2 RA was robust for quantifying microbial RAs across different datasets in several diseases.By applying PM2 RA,we identified several novel or previously reported microbes implicated in multiple diseases.PM2 RA is now implemented as a web-based application available at http://www.pm2 ra-xingyinliulab.cn/.
