Authors
Toyoaki Tanikawa1, Henmi Tomohiro2, *
1
Advanced Course in Industrial and Systems Engineering, National Institute of Technology, Kagawa College, Takamatsu, Kagawa 761-8058, Japan
2
Department of Electrical and Computer Engineering, National Institute of Technology, Kagawa College, Takamatsu, Kagawa 761-8058, Japan
*
Corresponding author. Emails: [email protected]; [email protected]; www.kagawa-nct.ac.jp
Corresponding Author
Henmi Tomohiro
Received 10 August 2018, Accepted 19 October 2018, Available Online 1 December 2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.3.1How to use a DOI?
Keywords
Fault detection; sticking fault; CARIMA model
Abstract
This paper proposes a sticking fault detecting method for controlled auto-regressive integrated moving average model (CARIMA) which detect the sticking fault of control input and feedback signal. It consists of model estimation using recursive least square method with the forgetting factor and fault detection. In the fault detection, an evaluation function is introduced, and it generates a fault signal from the input and output data. Numerical simulations are performed, and it is shown that this method can detect the sticking fault.

Copyright
© 2018 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).