Accelerating materials discovery crucially relies on strategies that efficiently sample the search space to label a pool of unlabeled data.This is important if the available labeled data sets are relatively small comp...Accelerating materials discovery crucially relies on strategies that efficiently sample the search space to label a pool of unlabeled data.This is important if the available labeled data sets are relatively small compared to the unlabeled data pool.Active learning with efficient sampling methods provides the means to guide the decision making to minimize the number of experiments or iterations required to find targeted properties.We review here different sampling strategies and show how they are utilized within an active learning loop in materials science.展开更多
Maintainability influencing attributes are analyzed, their weight and value calculating methods are given, and the maintainability fuzzy evaluation method is proposed based on the relative closeness. According to the ...Maintainability influencing attributes are analyzed, their weight and value calculating methods are given, and the maintainability fuzzy evaluation method is proposed based on the relative closeness. According to the maintenance task simulation operated in virtual environment, the maintainability virtual evaluation model is built by analyzing the maintenance task for each replaceable unit of product. At last, a case study is given based upon the main landing gear system of a certain type civil aircraft, and the result indicates that the model is suitable for maintainability qualitative evaluation and can support maintainability concurrent design.展开更多
制造质量信息是支持设计决策信息的重要组成部分,为设计者提供产品制造质量控制能力和水平信息。论文针对制造质量信息和BOM的特点,提出了基于产品结构和配置的BOM管理制造质量信息的方法。论文在分析设计、工艺、制造和质量B O M内容...制造质量信息是支持设计决策信息的重要组成部分,为设计者提供产品制造质量控制能力和水平信息。论文针对制造质量信息和BOM的特点,提出了基于产品结构和配置的BOM管理制造质量信息的方法。论文在分析设计、工艺、制造和质量B O M内容和特点的基础上,详细研究了从这些BOM中提取的用于支持设计决策的制造质量信息。通过BOM合理、有序的组织和管理,为支持并行设计决策的制造质量信息获取提供了解决途径。展开更多
基金the National Key Research and Development Program of China(Grant No.2017YFB0702401)the National Natural Science Foundation of China(Grant Nos.51571156,51671157,51621063,and 51931004).
文摘Accelerating materials discovery crucially relies on strategies that efficiently sample the search space to label a pool of unlabeled data.This is important if the available labeled data sets are relatively small compared to the unlabeled data pool.Active learning with efficient sampling methods provides the means to guide the decision making to minimize the number of experiments or iterations required to find targeted properties.We review here different sampling strategies and show how they are utilized within an active learning loop in materials science.
基金National Natural Science Foundation of China-Joint Found of Civil Aviation Research (60572171)
文摘Maintainability influencing attributes are analyzed, their weight and value calculating methods are given, and the maintainability fuzzy evaluation method is proposed based on the relative closeness. According to the maintenance task simulation operated in virtual environment, the maintainability virtual evaluation model is built by analyzing the maintenance task for each replaceable unit of product. At last, a case study is given based upon the main landing gear system of a certain type civil aircraft, and the result indicates that the model is suitable for maintainability qualitative evaluation and can support maintainability concurrent design.
文摘制造质量信息是支持设计决策信息的重要组成部分,为设计者提供产品制造质量控制能力和水平信息。论文针对制造质量信息和BOM的特点,提出了基于产品结构和配置的BOM管理制造质量信息的方法。论文在分析设计、工艺、制造和质量B O M内容和特点的基础上,详细研究了从这些BOM中提取的用于支持设计决策的制造质量信息。通过BOM合理、有序的组织和管理,为支持并行设计决策的制造质量信息获取提供了解决途径。
