Research on sensor fault detection for air conditioning system of satellite fairing based on SKPCA

WANG Hui; SHUI Ai-she; ZONG Fu-xing; CHEN Fan

doi:10.13873/J.1000-9787(2015)02-0023-05

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Research on sensor fault detection for air conditioning system of satellite fairing based on SKPCA

更新时间：2025-09-11

- Research on sensor fault detection for air conditioning system of satellite fairing based on SKPCA
- Vol. 34, Issue 2, Pages: 23-27(2015)
- 作者机构：
  
  后勤工程学院后勤信息与军事物流工程系
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)02-0023-05
  CLC： TP212;V444.3
- Published：2015
- 稿件说明：
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[1]汪辉,税爱社,宗福兴,陈帆.基于SKPCA的卫星整流罩空调系统传感器故障检测研究[J].传感器与微系统,2015,34(02):23-27.

WANG Hui, SHUI Ai-she, ZONG Fu-xing, et al. Research on sensor fault detection for air conditioning system of satellite fairing based on SKPCA[J]. 2015, 34(2): 23-27.
[1]汪辉,税爱社,宗福兴,陈帆.基于SKPCA的卫星整流罩空调系统传感器故障检测研究[J].传感器与微系统,2015,34(02):23-27. DOI： 10.13873/J.1000-9787(2015)02-0023-05.

WANG Hui, SHUI Ai-she, ZONG Fu-xing, et al. Research on sensor fault detection for air conditioning system of satellite fairing based on SKPCA[J]. 2015, 34(2): 23-27. DOI： 10.13873/J.1000-9787(2015)02-0023-05.

摘要

针对卫星整流罩空调系统对传感器故障检测的高可靠性的要求

在分析常见故障模式的基础上

采用了基于统计量核主元分析（SKPCA）的故障检测方法

建立整流罩空调系统传感器故障检测模型

对整流罩空调系统传感器容易出现的偏置故障进行了验证实验。实验结果验证了SKPCA方法在整流罩空调系统传感器故障检测中的正确性和有效性。

Abstract

Aiming at higher reliability requirement for sensor fault detection for air conditioning system of satellite fairing

on the basis of analysis on common fault modes

which focuses on improving the performances of traditional detection methods based on data-driven

adopt a fault detection method based on statistics kernel principal component analysis（ SKPCA）

sensor fault detection model based on SKPCA is established

in addition

make validation experiment for common bias faults. Correctness and effectiveness of SKPCA on fault detection is verified by results of experiment.

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Keywords

references

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基于改进BFA的旋转机械故障诊断核参数优选研究 [D]. 杨大炼. 湖南科技大学 2011

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