Fault detection and diagnosis for non-Gaussian singular stochastic distribution systems
- 10.2991/meic-15.2015.89How to use a DOI?
- probability density fuctions;singular stochastic distribution;control;fault detection;diagnosis
Fault detection and diagnosis (FDD) for singular stochastic distribution control (SDC) systems via the output probability density functions(PDFs) have been discussed. The PDFs can be approximated via square-root B-spline expansion,and expansions to represent the dynamics weighting systems between the system input and output PDFs. an novel fault detection and diagnosis algorithm is presented using the parameter-updating. Finally,the simulation result is included to show that satisfactory robustness and closed-loop performance can be achieved.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jing Shi AU - Peng Du AU - Yi Qu PY - 2015/04 DA - 2015/04 TI - Fault detection and diagnosis for non-Gaussian singular stochastic distribution systems BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 385 EP - 388 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.89 DO - 10.2991/meic-15.2015.89 ID - Shi2015/04 ER -