@inproceedings{f0a3bb0832a24ef3ac9d2c1cc611d62a,
title = "Kalman filter based fault detection of dual motor systems",
abstract = "Fault detection of a class of dual motor systems is discussed in this paper. A linear dual motor systems with sensor faults and actuator faults as well as random noise are modeled, and a Kalman filter based fault detection scheme is proposed. In the designed fault detection scheme, a Kalman filter based residual generator is constructed to generate the residual signal, and then an evaluation function is used to provide the fault decision, also a threshold is designed to detect the occurrence of faults. Finally, a simulation example is given to show the applicability and effectiveness of the proposed fault detection approach.",
keywords = "Dual Motor Systems, Fault Detection, Kalman Filter",
author = "Fumin Guo and Xuemei Ren and Zhijun Li and Cunwu Han",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028481",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "7133--7137",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}