Anomaly Detection based on Fuzzy Rules

Published on Feb 1, 2018in International journal of performability engineering
· DOI :10.23940/IJPE.18.02.P19.376385
Wenjiang Jiao1
Estimated H-index: 1
,
Qingbin Li1
Estimated H-index: 1
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Abstract
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2017
1 Author (Kavitha P)
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Cited By3
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#1Yunan Song (Northeast Normal University)H-Index: 1
#2Fengrui Zhang (University of Oxford)H-Index: 1
Last. Congchong Liu (College of Business Administration)H-Index: 1
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#1Maria Akram (University of Engineering and Technology, Lahore)H-Index: 2
#2Ali Raza (University of Engineering and Technology, Lahore)H-Index: 6
Abstract Mobile robots in uncertain and unstructuredenvironments frequently encounter faults. Therefore, an effective fault detection and recovery mechanism is required. One can possibly investigate natural systems to seek inspiration to develop systems that can handle such faults. Authors, in this pursuit, have explored the possibility of designing an artificial immune system, called Robot Immune System (RIS), to maintain a robot’s internal health-equilibrium. This contrasts with existing appro...
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