面向飞机PHM的大数据分析与人工智能应用

针对新一代电子产品密集型的飞机,其系统结构和失效机理复杂、失效模式多样,传统的方法难以对其进行有效健康管理的现状,因此提出了基于海量数据挖掘的飞机PHM研究。首先从系统结构、服役环境、数据来源与存储方式等角度分析了新一代飞机对海量数据挖掘的应用需求;其次论述了基于海量数据挖掘的关键技术,包括数据的预处理、集成管理、聚类、分类、关联、预测等;最后提出了一种基于私有云的飞机PHM海量数据挖掘平台,详细阐述了该平台的总体框架和软硬件结构,该平台为飞机PHM提供了验证平台,对促进飞机PHM的集成与工程化实现具有重大的军事应用意义。     

Degradation of proinsulin C-peptide in kidney and placenta extracts by a specific endoprotease activity

Degradation of proinsulin C-peptide in mouse kidney and human placenta extracts was studied using reverse-phase high-performance liquid chromatography and nano-electrospray mass spectrometry. In total, 15 proteolytic cleavage sites were identified in human and mouse C-peptides. Early sites included the peptide bonds N-terminal of Val/Leu10, Leu12, Leu21, Leu24 and Leu26 in different combinations for the two tissues and two peptides. Notably, these cleavages were N-terminal of a hydrophobic residue, and all but one N-terminal of Leu. A late degradation product of the human peptide detected in the kidney extract was the C-terminal hexapeptide, containing just one residue more than the biologically active C-terminal pentapeptide of C-peptide. We conclude that the degradation of C-peptide in kidney and placenta follows similar patterns, dominated by endopeptidase cleavages N-terminal of Leu.