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航空发动机PHM中的数据挖掘机遇与挑战

尉询楷 朱纪洪 陈良峰 冯悦 杨立

计算机工程与科学2012,Vol.34Issue(4):88-93,6.
计算机工程与科学2012,Vol.34Issue(4):88-93,6.DOI:10.3969/j.issn.1007-130X.2012.04.018

航空发动机PHM中的数据挖掘机遇与挑战

The Opportunities and Challenges of Data Mining in Gas Turbine Engine Prognostics and Health Management

尉询楷 1朱纪洪 2陈良峰 2冯悦 1杨立1

作者信息

  • 1. 北京航空工程技术研究中心,北京100076
  • 2. 清华大学计算机科学与技术系智能系统与技术国家重点实验室,北京100084
  • 折叠

摘要

Abstract

Prognostics and health management is an enabled supporting key technology for ensuring flight safety and two-level condition-based maintenance. Data mining is the core implementation technology for engine health status assessment, diagnostics and remaining useful life prediction. First, the military needs and the significance of the PHM technology accompanying with the role of data mining in PHM are briefly reviewed. Then, the key data mining problems and challenges in gas turbine PHM are detailed. Finally, it is argued that the maturing of PHM should be under the collaboration of the computer subject and the aerospace subject.

关键词

预测与健康管理/视情维修/数据挖掘/机遇与挑战

Key words

prognostics and health management/ condition based maintenance/ data mining/ opportunities and challenges

分类

信息技术与安全科学

引用本文复制引用

尉询楷,朱纪洪,陈良峰,冯悦,杨立..航空发动机PHM中的数据挖掘机遇与挑战[J].计算机工程与科学,2012,34(4):88-93,6.

基金项目

总装维修预研项目(51327030101) (51327030101)

计算机工程与科学

OA北大核心CSCDCSTPCD

1007-130X

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