@inproceedings{45045e5f5fa447618ea3cad260fb8fa5,
title = "An Improved Principal Component Analysis Algorithm on FDI of Redundant Inertial Measurement Unit",
abstract = "In this paper, an improved Principal Component Analysis (PCA) algorithm on fault detection and isolation (FDI) of redundant inertial measurement unit (RIMU) is proposed so as to improve the accuracy of the FDI system. We firstly combine the superiority both on the PCA and parity space method, then take the filter to parity vector in the process. Simulation results show that the accuracy of fault detection has been greatly increased with the addition of the filter, which demonstrates that the proposed method is feasible and can provide a theoretical reference for the FDI system.",
keywords = "Fault Detection and Isolation (FDI), Parity space method, Principal Component Analysis (PCA), Redundant Inertial Measurement Unit (RIMU)",
author = "Wang, \{Fen Fen\} and Tong Zhang and Fu, \{Wen Xing\}",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8483080",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6082--6086",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
}