In order to reduce the variations of the product quality in batch processes, multivariate statistical process control methods according to multi-way principal component analysis (MPCA) or multi-way projection to laten...In order to reduce the variations of the product quality in batch processes, multivariate statistical process control methods according to multi-way principal component analysis (MPCA) or multi-way projection to latent structure (MPLS) were proposed for on-line batch process monitoring. However, they are based on the decomposition of relative covariance matrix and strongly affected by outlying observations. In this paper, in view of an efficient projection pursuit algorithm, a robust statistical batch process monitoring (RSBPM) framework,which is resistant to outliers, is proposed to reduce the high demand for modeling data. The construction of robust normal operating condition model and robust control limits are discussed in detail. It is evaluated on monitoring an industrial streptomycin fermentation process and compared with the conventional MPCA. The results show that the RSBPM framework is resistant to possible outliers and the robustness is confirmed.展开更多
Each year 750,000 Americans are diagnosed with sepsis and approximately 220,000 of those patients die. In addition to the toll on human life, sepsis is the most expensive disease to care for in the hospital costing ap...Each year 750,000 Americans are diagnosed with sepsis and approximately 220,000 of those patients die. In addition to the toll on human life, sepsis is the most expensive disease to care for in the hospital costing approximately 17 billion dollars annually. National and international initiatives have demonstrated the benefits of recognition, early fluid resuscitation and broad spectrum antibiotics to reduce sepsis mortality. The Surviving Sepsis Campaign recently issued the third iteration of clinical bundles for the management of severe sepsis and septic shock. Robust Process Improvement （RPITM） which integrates the principles of Six Sigma, Lean and Change Management was applied to increase overall compliance to implement the elements of the three hour sepsis bundle in a complex healthcare system. The elements of the three hour sepsis bundle are drawing blood cultures before ordering antibiotics, timely antibiotic administration, obtaining lactate and administering fluid bolus. It has been demonstrated for severe sepsis and septic shock that bundle compliance is associated with a reduction in hospital mortality. The results of this study indicated that the overall bundle compliance increased by 30% which resulted in reducing the sepsis mortality rate by 27%.展开更多
文摘In order to reduce the variations of the product quality in batch processes, multivariate statistical process control methods according to multi-way principal component analysis (MPCA) or multi-way projection to latent structure (MPLS) were proposed for on-line batch process monitoring. However, they are based on the decomposition of relative covariance matrix and strongly affected by outlying observations. In this paper, in view of an efficient projection pursuit algorithm, a robust statistical batch process monitoring (RSBPM) framework,which is resistant to outliers, is proposed to reduce the high demand for modeling data. The construction of robust normal operating condition model and robust control limits are discussed in detail. It is evaluated on monitoring an industrial streptomycin fermentation process and compared with the conventional MPCA. The results show that the RSBPM framework is resistant to possible outliers and the robustness is confirmed.
文摘Each year 750,000 Americans are diagnosed with sepsis and approximately 220,000 of those patients die. In addition to the toll on human life, sepsis is the most expensive disease to care for in the hospital costing approximately 17 billion dollars annually. National and international initiatives have demonstrated the benefits of recognition, early fluid resuscitation and broad spectrum antibiotics to reduce sepsis mortality. The Surviving Sepsis Campaign recently issued the third iteration of clinical bundles for the management of severe sepsis and septic shock. Robust Process Improvement （RPITM） which integrates the principles of Six Sigma, Lean and Change Management was applied to increase overall compliance to implement the elements of the three hour sepsis bundle in a complex healthcare system. The elements of the three hour sepsis bundle are drawing blood cultures before ordering antibiotics, timely antibiotic administration, obtaining lactate and administering fluid bolus. It has been demonstrated for severe sepsis and septic shock that bundle compliance is associated with a reduction in hospital mortality. The results of this study indicated that the overall bundle compliance increased by 30% which resulted in reducing the sepsis mortality rate by 27%.
