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Volume 5, Issue 3, December 2018, Pages 149 - 152
Sticking Fault Detecting Method for CARIMA Model
Authors
Toyoaki Tanikawa1, Henmi Tomohiro2, *
1Advanced Course in Industrial and Systems Engineering, National Institute of Technology, Kagawa College, Takamatsu, Kagawa 761-8058, Japan
2Department of Electrical and Computer Engineering, National Institute of Technology, Kagawa College, Takamatsu, Kagawa 761-8058, Japan
*Corresponding author. Emails: toyoakipd0@gmail.com; henmi@t.kagawa-nct.ac.jp; www.kagawa-nct.ac.jp
Corresponding Author
Henmi Tomohiro
Received 10 August 2018, Accepted 19 October 2018, Available Online 1 December 2018.
- DOI
- 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 Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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Cite this article
TY - JOUR AU - Toyoaki Tanikawa AU - Henmi Tomohiro PY - 2018 DA - 2018/12/01 TI - Sticking Fault Detecting Method for CARIMA Model JO - Journal of Robotics, Networking and Artificial Life SP - 149 EP - 152 VL - 5 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.3.1 DO - 10.2991/jrnal.2018.5.3.1 ID - Tanikawa2018 ER -