A sensor fault detection and isolation strategy by using a Dendritic Cell Algorithm
Abstract
In this paper, an online sensor fault detection and isolation (FDI) scheme is proposed based on an emerging Artificial Immune System (AIS) algorithm, namely Dendritic Cell Algorithm (DCA). Our proposed methodology is utilized in a distributed manner in order to perform sensor FDI in complex systems. The proposed methodology is then applied to a wind turbine benchmark model in order to demonstrate its capabilities. 2016 IEEE.
Collections
- Electrical Engineering [2703 items ]
Related items
Showing items related by title, author, creator and subject.
-
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Fault-Tolerant Control of One-Sided Lipschitz Nonlinear Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this short paper, development of an adaptive fault tolerant control (FTC) using a virtual actuator framework is presented for one-sided Lipschitz nonlinear systems subjected to time-varying loss of effectiveness and ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
( ASME , 2012 , Article)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables ...