Analysis of sensor fault detection in chiller based on PCA method

被引：0
|
作者：
机构：
[1] Hu, Yunpeng
[2] Chen, Huanxin
[3] Zhou, Cheng
[4] Yang, Xiaoshuang
[5] Xu, Rongji
来源：
Chen, H. (chenhuanxin@tsinghua.org.cn) | 1600年 / Materials China卷 / 63期
关键词：
Cooling systems - Multivariant analysis - Principal component analysis - Automation;
D O I：
10.3969/j.issn.0438-1157.2012.z2.016
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [1] Sensitivity analysis for PCA-based chiller sensor fault detection
    Hu, Yunpeng
    Li, Guannan
    Chen, Huanxin
    Li, Haorong
    Liu, Jiangyan
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2016, 63 : 133 - 143
  • [2] The impact of improved PCA method based on anomaly detection on chiller sensor fault detection
    Liang, Aosong
    Hu, Yunpeng
    Li, Guannan
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2023, 155 : 184 - 194
  • [3] PCA-SVDD-based chiller fault detection method
    Li, Guannan
    Hu, Yunpeng
    Chen, Huanxin
    Li, Haorong
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2015, 43 (08): : 119 - 122
  • [4] An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising
    Li, Guannan
    Hu, Yunpeng
    ENERGY AND BUILDINGS, 2019, 183 : 311 - 324
  • [5] A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method
    Hu, Yunpeng
    Chen, Huanxin
    Li, Guannan
    Li, Haorong
    Xu, Rongji
    Li, Jiong
    ENERGY AND BUILDINGS, 2016, 112 : 270 - 278
  • [6] Early sensor fault detection based on PCA and clustering analysis
    Deep Space Exploration Research Center, Harbin Institute of Technology, Harbin, China
    Wang, Ri-Xin, 1600, Harbin Institute of Technology (21):
  • [7] Early Sensor Fault Detection Based on PCA and Clustering Analysis
    Xue-Bing Gong
    Ri-Xin Wang
    Min-Qiang Xu
    Journal of Harbin Institute of Technology(New series), 2014, (06) : 113 - 120
  • [8] Statistics Analysis of PCA-based Sensor Fault Detection
    Qiu, Tian
    Zhu, Xiang
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 1085 - 1089
  • [9] Application of Improved LSTM Method in Sensor Fault Detection of the Chiller
    Li D.
    Yin H.
    Zheng B.
    Liu L.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2019, 34 (11): : 2324 - 2332
  • [10] Sensor fault detection and isolation techniques based on PCA
    Berbache, Soraya
    Harkat, Mohamed Faouzi
    Kratz, Frederic
    2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRICAL ENGINEERING (ICAEE), 2019,
12345