Fault Detection in Analog Circuits Using a Fuzzy Dendritic Cell Algorithm

Amaral, Jorge

doi:10.1007/978-3-642-22371-6_26

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…The danger theory (DT), which is a new theoretical model in immunology, considers that the BIS cannot distinguish "self-nonself" (SNS), but can distinguish and react to danger signals [9,10]. It has been applied to many fields [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. The vaccine is a preparation of a weakened or dead pathogen and can protect the body from the attack of specific bacteria or viruses.…”

Section: Introductionmentioning

confidence: 99%

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Wang

Zhao

et al. 2013

J. of Syst. Eng. Electron.

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Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative airdefense system of systems (SoS) for surface warship formation (CASoSSWF) to the biological immune system (BIS) according to the similarity of the defense mechanism and characteristics between the CASoSSWF and the BIS, and then designs the models of components and the architecture for a monitoring agent, a regulating agent, a killer agent, a pre-warning agent and a communicating agent by making use of the theories and methods of the artificial immune system, the multi-agent system (MAS), the vaccine and the danger theory (DT). Moreover a new immune multi-agent model using vaccine based on DT (IMMUVBDT) for the cooperative air-defense SoS is advanced. The immune response and immune mechanism of the CASoSSWF are analyzed. The model has a capability of memory, evolution, commendable dynamic environment adaptability and self-learning, and embodies adequately the cooperative air-defense mechanism for the CA-SoSSWF. Therefore it shows a novel idea for the CASoSSWF which can provide conception models for a surface warship formation operation simulation system.

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Section: Introductionmentioning

confidence: 99%

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Wang

Zhao

et al. 2013

J. of Syst. Eng. Electron.

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“…Since then, variants of the original algorithm were suggested [59,61]. These algorithms were applied to error detection in a mobile robotic system [60], robotic classifier [85], anomaly detection in computer security [57], GPS multipath detection [86], pattern recognition [87], and "healthy" model-based fault detection of analog circuits [88].…”

Section: T-cells Which Mature In the Thymus Exist In Two Main Typesmentioning

confidence: 99%

Aircraft Abnormal Conditions Detection, Identification, and Evaluation Using Innate and Adaptive Immune Systems Interaction

Azzawi¹

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Abnormal flight conditions play a major role in aircraft accidents frequently causing loss of control. To ensure aircraft operation safety in all situations, intelligent system monitoring and adaptation must rely on accurately detecting the presence of abnormal conditions as soon as they take place, identifying their root cause(s), estimating their nature and severity, and predicting their impact on the flight envelope.Due to the complexity and multidimensionality of the aircraft system under abnormal conditions, these requirements are extremely difficult to satisfy using existing analytical and/or statistical approaches. Moreover, current methodologies have addressed only isolated classes of abnormal conditions and a reduced number of aircraft dynamic parameters within a limited region of the flight envelope.This research effort aims at developing an integrated and comprehensive framework for the aircraft abnormal conditions detection, identification, and evaluation based on the artificial immune systems paradigm, which has the capability to address the complexity and multidimensionality issues related to aircraft systems.Within the proposed framework, a novel algorithm was developed for the abnormal conditions detection problem and extended to the abnormal conditions identification and evaluation. The algorithm and its extensions were inspired from the functionality of the biological dendritic cells (an important part of the innate immune system) and their interaction with the different components of the adaptive immune system. Immunity-based methodologies for re-assessing the flight envelope at post-failure and predicting the impact of the abnormal conditions on the performance and handling qualities are also proposed and investigated in this study.The generality of the approach makes it applicable to any system. Data for artificial immune system development were collected from flight tests of a supersonic research aircraft within a motion-based flight simulator. The abnormal conditions considered in this work include locked actuators (stabilator, aileron, rudder, and throttle), structural damage of the wing, horizontal tail, and vertical tail, malfunctioning sensors, and reduced engine effectiveness. The results of applying the proposed approach to this wide range of abnormal conditions show its high capability in detecting the abnormal conditions with zero false alarms and very high detection rates, correctly identifying the failed subsystem and evaluating the type and severity of the failure. The results also reveal that the post-failure flight envelope can be reasonably predicted within this framework. . . DEDICATION . DEDICATION To my parents, Zeki and Anwar, my wife, Rawaa, and my children, Ahmed and Yisra. iii . . ACKNOWLEDGMENTS . ACKNOWLEDGMENTSIt is a great pleasure to take this opportunity to thank my advisor, Dr. Mario G. Perhinschi. Without his true mentoring, indefinite support, and tireless patience, this work would not have been possible. I would also like to express my sincere thanks to the me...

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Hybridization Schemes of the Fuzzy Dendritic Cell Immune Binary Classifier based on Different Fuzzy Clustering Techniques

Chelly

Elouedi

2015

New Gener. Comput.

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Fault Detection in Analog Circuits Using a Fuzzy Dendritic Cell Algorithm

Cited by 6 publications

References 24 publications

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Aircraft Abnormal Conditions Detection, Identification, and Evaluation Using Innate and Adaptive Immune Systems Interaction

Hybridization Schemes of the Fuzzy Dendritic Cell Immune Binary Classifier based on Different Fuzzy Clustering Techniques

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