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卡尔曼滤波在装备故障预测中的应用综述

赵建印 雷瑶 李振宇

兵工自动化2024,Vol.43Issue(9):16-20,5.
兵工自动化2024,Vol.43Issue(9):16-20,5.DOI:10.7690/bgzdh.2024.09.004

卡尔曼滤波在装备故障预测中的应用综述

Survey on Application of Kalman Filter in Equipment Fault Prediction

赵建印 1雷瑶 1李振宇1

作者信息

  • 1. 海军航空大学,山东 烟台 264001
  • 折叠

摘要

Abstract

Kalman filter is applied to equipment fault prediction.In practical application,considering the influence of noise and disturbance on the measurement results,the Kalman filter can be used to predict a group of data containing measured noise while analyzing the measured noise;the Kalman filter is easy to design computer program,can update and process the field data in real time,and is easy to implement and combine with other algorithms.Through the discussion of the key methods of Kalman filtering and the analysis of examples,the results show that Kalman filtering has a good application prospect in equipment fault prediction.

关键词

卡尔曼滤波/故障预测/实测数据/噪声处理

Key words

Kalman filtering/fault prediction/measured data/noise processing

分类

军事科技

引用本文复制引用

赵建印,雷瑶,李振宇..卡尔曼滤波在装备故障预测中的应用综述[J].兵工自动化,2024,43(9):16-20,5.

兵工自动化

OA北大核心CSTPCD

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