国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

基于建康管理技術(shù)的機載計算機智能故障診斷方法
DOI:
CSTR:
作者:
作者單位:

西安航空計算技術(shù)研究所

作者簡(jiǎn)介:

通訊作者:

中圖分類(lèi)號:

基金項目:


An Intelligent Fault Diagnosis Method for Airborne Computer Based on Health Management Technology
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪(fǎng)問(wèn)統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    為了滿(mǎn)足飛機機載電子設備以狀態(tài)監控為基礎的視情維修保障策略,提升設備可維護性,提出了一種基于在線(xiàn)檢測、故障預測、輔助決策的健康監控管理故障診斷方法,支持對機載電子設備的健康狀態(tài)進(jìn)行預測和評估。通過(guò)劃分機載電子設備子功能的敏感威脅區域,對這些區域設計專(zhuān)門(mén)的威脅預警監控電路,進(jìn)行功能危害監控,建立推理監控模型對監控電路故障進(jìn)行預警監控,結合輔助決策的方式對預警到的故障進(jìn)行定位,實(shí)現對電子設備的智能故障診斷。通過(guò)FMEA的分析與故障注入測試驗證,該預警電路、推理模型和輔助決策能有效的預測故障及定位,具有較高的故障預測覆蓋率,可提高機載計算機的維修性、降低維修時(shí)間,在電子設備視情維修策略上具備工程應用價(jià)值。

    Abstract:

    In order to satisfy the condition-based maintenance support strategy of airborne electronic equipment based on condition monitoring and improve the maintainability of equipment, a fault diagnosis method of health monitoring management based on on on-line detection, fault prediction and assistant decision-making is proposed to support the prediction and evaluation of the health status of airborne electronic equipment. By dividing sensitive threat areas of electronic functions of airborne electronic equipment, designing special threat early warning and monitoring circuits for these areas, monitoring functional hazards, establishing reasoning monitoring model for early warning and monitoring of monitoring circuit faults, locating the early warning faults combined with assistant decision-making, and realizing electronic equipment early warning and monitoring. Intelligent fault diagnosis. Through FMEA analysis and fault injection test, the early warning circuit, reasoning model and assistant decision-making can effectively predict and locate faults, have higher fault prediction coverage, improve the maintainability of airborne computers, reduce maintenance time, and have engineering application value in electronic equipment maintenance strategy.

    參考文獻
    相似文獻
    引證文獻
引用本文

馬小博,王芳,陳益,李亞鋒.基于建康管理技術(shù)的機載計算機智能故障診斷方法計算機測量與控制[J].,2019,27(11):43-47.

復制
分享
文章指標
  • 點(diǎn)擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2019-08-26
  • 最后修改日期:2019-09-20
  • 錄用日期:2019-09-20
  • 在線(xiàn)發(fā)布日期: 2019-11-18
  • 出版日期:
文章二維碼
称多县| 唐河县| 大悟县| 安达市| 中卫市| 明星| 广元市| 商河县| 工布江达县| 贵溪市| 新安县| 肇庆市| 芒康县| 永德县| 喜德县| 清镇市| 定州市| 安平县| 崇义县| 平度市| 沾化县| 邳州市| 阳江市| 金塔县| 河间市| 中山市| 湘乡市| 五原县| 南投县| 怀集县| 忻州市| 西畴县| 松江区| 巢湖市| 章丘市| 凌云县| 当雄县| 沁阳市| 常德市| 称多县| 海阳市|