After type A acute aortic dissection(AAD)repair or modified Bentall procedure,uncontrollable bleeding from the anastomotic sites of the fragile dissected tissues or aortic root area is a critical situation to a cardia...After type A acute aortic dissection(AAD)repair or modified Bentall procedure,uncontrollable bleeding from the anastomotic sites of the fragile dissected tissues or aortic root area is a critical situation to a cardiac surgeon.For postoperative care,lots of blood transfusion with strict monitoring on the patient all night and subsequent reoperation for the bleeding control is usually needed.We managed to make contained local compression of upper half of the heart,from upper part of the right ventricle to just above the innominate vein,using bovine pericardium with closing both sides of transverse sinus in two cases of uncontrolled postoperative bleeding(bleeding from distal anastomotic site in type-A AAD and valve sitting site in modified Bentall procedure).Even though reoperations for the removal of packed gauges were done in both cases 2 days later,postoperative courses at intensive care unit were very smooth with little need for transfusion.This kind of contained local compression trial could be a useful strategy for dealing with the malignant uncontrollable bleeding from the fragile aortic tissue or root area after acute dissection or aortic root repair.展开更多
Based on feature compression with orthogonal locality preserving projection（OLPP）,a novel fault diagnosis model is proposed in this paper to achieve automation and high-precision of fault diagnosis of rotating machi...Based on feature compression with orthogonal locality preserving projection（OLPP）,a novel fault diagnosis model is proposed in this paper to achieve automation and high-precision of fault diagnosis of rotating machinery.With this model,the original vibration signals of training and test samples are first decomposed through the empirical mode decomposition（EMD）,and Shannon entropy is constructed to achieve high-dimensional eigenvectors.In order to replace the traditional feature extraction way which does the selection manually,OLPP is introduced to automatically compress the high-dimensional eigenvectors of training and test samples into the low-dimensional eigenvectors which have better discrimination.After that,the low-dimensional eigenvectors of training samples are input into Morlet wavelet support vector machine（MWSVM） and a trained MWSVM is obtained.Finally,the low-dimensional eigenvectors of test samples are input into the trained MWSVM to carry out fault diagnosis.To evaluate our proposed model,the experiment of fault diagnosis of deep groove ball bearings is made,and the experiment results indicate that the recognition accuracy rate of the proposed diagnosis model for outer race crack、inner race crack and ball crack is more than 90%.Compared to the existing approaches,the proposed diagnosis model combines the strengths of EMD in fault feature extraction,OLPP in feature compression and MWSVM in pattern recognition,and realizes the automation and high-precision of fault diagnosis.展开更多
Source localization by matched-field processing （MFP） can be accelerated by building a database of Green＇s functions which however requires a bulk-storage memory. According to the sparsity of the source locations i...Source localization by matched-field processing （MFP） can be accelerated by building a database of Green＇s functions which however requires a bulk-storage memory. According to the sparsity of the source locations in the search grids of MFP, compressed sensing inspires an approach to reduce the database by introducing a sensing matrix to compress the database. Compressed sensing is further used to estimate the source locations with higher resolution by solving the β -norm optimization problem of the compressed Green＇s function and the data received by a vertieal/horizontal line array. The method is validated by simulation and is verified with the experimental data.展开更多
文摘After type A acute aortic dissection(AAD)repair or modified Bentall procedure,uncontrollable bleeding from the anastomotic sites of the fragile dissected tissues or aortic root area is a critical situation to a cardiac surgeon.For postoperative care,lots of blood transfusion with strict monitoring on the patient all night and subsequent reoperation for the bleeding control is usually needed.We managed to make contained local compression of upper half of the heart,from upper part of the right ventricle to just above the innominate vein,using bovine pericardium with closing both sides of transverse sinus in two cases of uncontrolled postoperative bleeding(bleeding from distal anastomotic site in type-A AAD and valve sitting site in modified Bentall procedure).Even though reoperations for the removal of packed gauges were done in both cases 2 days later,postoperative courses at intensive care unit were very smooth with little need for transfusion.This kind of contained local compression trial could be a useful strategy for dealing with the malignant uncontrollable bleeding from the fragile aortic tissue or root area after acute dissection or aortic root repair.
基金supported by Fundamental Research Funds for the Central Universities of China (Grant No. CDJZR10118801)
文摘Based on feature compression with orthogonal locality preserving projection（OLPP）,a novel fault diagnosis model is proposed in this paper to achieve automation and high-precision of fault diagnosis of rotating machinery.With this model,the original vibration signals of training and test samples are first decomposed through the empirical mode decomposition（EMD）,and Shannon entropy is constructed to achieve high-dimensional eigenvectors.In order to replace the traditional feature extraction way which does the selection manually,OLPP is introduced to automatically compress the high-dimensional eigenvectors of training and test samples into the low-dimensional eigenvectors which have better discrimination.After that,the low-dimensional eigenvectors of training samples are input into Morlet wavelet support vector machine（MWSVM） and a trained MWSVM is obtained.Finally,the low-dimensional eigenvectors of test samples are input into the trained MWSVM to carry out fault diagnosis.To evaluate our proposed model,the experiment of fault diagnosis of deep groove ball bearings is made,and the experiment results indicate that the recognition accuracy rate of the proposed diagnosis model for outer race crack、inner race crack and ball crack is more than 90%.Compared to the existing approaches,the proposed diagnosis model combines the strengths of EMD in fault feature extraction,OLPP in feature compression and MWSVM in pattern recognition,and realizes the automation and high-precision of fault diagnosis.
基金Supported by the National Natural Science Foundation of China under Grant Nos 11374271 and 11374270the Fundamental Research Funds for the Central Universities under Grant No 201513038
文摘Source localization by matched-field processing （MFP） can be accelerated by building a database of Green＇s functions which however requires a bulk-storage memory. According to the sparsity of the source locations in the search grids of MFP, compressed sensing inspires an approach to reduce the database by introducing a sensing matrix to compress the database. Compressed sensing is further used to estimate the source locations with higher resolution by solving the β -norm optimization problem of the compressed Green＇s function and the data received by a vertieal/horizontal line array. The method is validated by simulation and is verified with the experimental data.
基金《国土资源部大陆动力学重点实验室》(Key Laboratory of Continental Dynamics,MLRInstitutes of Geology,Chinese Academy of Geological Sciences,Beijing,China)和国家科技专项《汶川地震断裂带科学钻探》(WFSD)项目研究成果
