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Editor's notes on special issue on “reliability and maintenance modeling with big data”

机译:编辑关于“具有大数据的可靠性和维护建模”的特殊问题的注意事项

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摘要

Modern technological developments such as smart chips, sensors, digital imaging, and wireless communications have changed many data-collection processes in reliability. The emergence of big data provides tremendous opportunities for monitoring, predicting, and improving reliability and lowering operating costs. The challenges faced by researchers in this area come not only from the volume of the data but also from the complexity of data structures, which calls for the development of new statistical methods and tools.
机译:智能芯片,传感器,数字成像和无线通信等现代技术发展已经改变了许多可靠性的数据收集过程。 大数据的出现为监测,预测和提高可靠性和降低运营成本提供了巨大的机会。 该领域的研究人员面临的挑战不仅来自数据的体积,而且来自数据结构的复杂性,这需要开发新的统计方法和工具。

著录项

  • 来源
    《Journal of Quality Technology》 |2018年第4期|共2页
  • 作者单位

    Department of Statistics Virginia Tech Blacksburg Virginia;

    Department of Industrial Engineering University of Arkansas Fayetteville Arkansas;

    Center for Computational and Statistical Learning IBM Thomas J.Watson Research Center Yorktown Heights New York;

    Department of Industrial Engineering &

    Decision Analytics Hong Kong University of Science &

    Technology ClearWater Bay Kowloon Hong Kong;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 工业技术现状与发展;
  • 关键词

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