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Diagnosis and Control for Multi-agent Systems Using Immune Networks
[chapter]
2002
Soft Computing and Industry
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This paper describes novel sensor fault diagnosis for an uninterruptible power supply(UPS) feedback control system and new decision making of a robot in a changeable environment using immune networks and ...
Simulation studies show that the proposed methods are feasible and promising for control and diagnosis of large-scale and complex dynamical systems. ...
This paper proposed one of the promising methods for diagnosis and control of large-scale and complex systems (multi-agent systems) using immune networks and other soft computing methodologies. ...
doi:10.1007/978-1-4471-0123-9_1
fatcat:7rmnev5larg5pocwe7jkqhyvu4
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
[article]
2018
arXiv
pre-print
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Noncritical soft-faults and model deviations are a challenge for Fault Detection and Diagnosis (FDD) of resident Autonomous Underwater Vehicles (AUVs). ...
We evaluated the performance of fault classification using all the measured signals compared to using the computed residuals from the nominal model as features. ...
In this paper, we extend this evaluation to the diagnosis of non-critical soft-faults using a fault classifier. ...
arXiv:1807.04109v1
fatcat:3gtlsxxsuvf4tapakoloydbx5i
Soft-Error and Hard-fault Tolerant Architecture and Routing Algorithm for Reliable 3D-NoC Systems
[article]
2020
arXiv
pre-print
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However, NoC systems are exposed to a variety of manufacturing, design and energetic particles factors making them vulnerable to permanent (hard) faults and transient (soft) errors. ...
In-depth evaluation results show that the 3D-FETO system is able to work around different kinds of hard faults and soft errors while ensuring graceful performance degradation, minimizing the additional ...
rates for three system configurations: (1) hard-fault tolerant system (3D-FTO), (2) soft-error resilience system (Soft Error Resilience OASIS), and (3) Hard-fault and Soft-error tolerant system (3D-FETO ...
arXiv:2003.09616v1
fatcat:5hrbkwmxkzabhmstrkecmcjbeu
Network Coding-Based Fault Diagnosis Protocol for Dynamic Networks
2020
KSII Transactions on Internet and Information Systems
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Dependable functioning of dynamic networks is essential for delivering ubiquitous services. Faults are the root causes of network outages. ...
Nonetheless, the time-free comparison model imposes no time constraints on the system under considerations, and it suits most of the diagnosis requirements of dynamic networks. ...
Nonetheless, such structures are extremely hard to create and maintain in dynamic systems [23] . This paper introduces a new fault diagnosis protocol for dynamic networks, so-called RLNC-DSDP. ...
doi:10.3837/tiis.2020.04.005
fatcat:av4qsargf5bajncy3h72nuvyi4
Graphical Description of Soft Fault on Manufacturing Systems Using FDI Strategy: a SCL Approach
2012
POLIBITS Research Journal on Computer Science and Computer Engineering With Applications
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This work shows the benefits of a virtual graphical environment to model soft faults behavior in the resources of typical manufacturing processes applying Fuzzy Filter Time Series. ...
This instrument will be useful for academic, research and industrial applications. ...
We are also thankful to the Dassault System Company for the permission to use the Quest ® environment. ...
doi:10.17562/pb-46-7
fatcat:l75nee6ugnf5bo5kntvdubifqq
A low-overhead soft–hard fault-tolerant architecture, design and management scheme for reliable high-performance many-core 3D-NoC systems
2017
Journal of Supercomputing
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2020 pre-print arXiv:2003.11018v1 fatcat:wi6yt5brerggnn6daum5gpsnqq
In this paper, we present the architecture and design of a comprehensive soft error and hard fault-tolerant 3D-NoC system, named 3D-Hard-Fault-Soft-Error-Tolerant-OASIS-NoC (3D-FETO). ...
In-depth evaluation results show that the 3D-FETO system is able to work around different kinds of hard faults and soft errors, ensuring graceful performance degradation, while minimizing additional hardware ...
This work is also supported by VLSI Design and Education Center (VDEC), the University of Tokyo, Japan, in Collaboration with Synopsys, Inc. and Cadence Design Systems, Inc. ...
doi:10.1007/s11227-016-1951-0
fatcat:ljg33pwh6ngu5dj3sebfym32z4
Neural network based fault diagnosis using unmeasurable inputs
2000
Engineering applications of artificial intelligence
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The features of dynamic trends of the process are extracted using a wavelet transform and a qualitative interpretation, and then are used as inputs in the neural network based fault diagnosis model. ...
This paper is concerned with developing a soft sensor to assist in on-line fault diagnosis by providing information on the critical variable that is not directly accessible. ...
Neural network for fault diagnosis The dynamic trend of each process variable is expressed using six feature variable pairs proposed in Section 5. ...
doi:10.1016/s0952-1976(00)00005-1
fatcat:6q6hu3bh3bbcvghqd5ypviygzm
Diagnosis of Dynamic Topology MANETs in Faulty Environment
2004
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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In this paper we describe here the diagnosis the dynamic topology in a faulty environment. ...
In dynamic topology nodes are free to move randomly. Mobile stations from an arbitrary topology. ...
The fault-free node can't be faulty during diagnosis session.
Dynamic fault Fault-free node may become faulty during diagnosis session. ...
doi:10.24297/ijct.v3i1b.2747
fatcat:nlvj34xoqjco7ngybvdwj4pnpq
Page 28 of The Journal of the Operational Research Society Vol. 58, Issue 1
[page]
2007
The Journal of the Operational Research Society
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VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table. Expert Syst Appl 28: 735-742.
Yangping Z, Bingquan Z and DongXin W (2000). ...
An operator support system for research reactor operations and fault diagnosis through a connectionist framework and PSA based knowledge based systems. Reliability Eng Syst Safety 60: 53-69. ...
Industrial applications of soft computing: a review
2001
Proceedings of the IEEE
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Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for imprecision, uncertainty, and partial truth to achieve robustness, tractability, and low cost. ...
Our paper intends to remove the gap between theory and practice and attempts to learn how to apply soft computing practically to industrial systems from examples/analogy reviewing many application papers ...
proposed an NN/FL system for incipient fault diagnosis in induction motors. ...
doi:10.1109/5.949483
fatcat:erzs7fqa35dixgm7mq2efptpai
A prognostic framework for health management of coupled systems
2011
2011 IEEE Conference on Prognostics and Health Management
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The approach employs Cox proportional hazards model (Cox PHM) and soft dynamic multiple fault diagnosis algorithm (DMFD) for inferring the degraded state trajectories of components and to estimate their ...
Keywords: proportional hazard model (PHM), dynamic multiple fault diagnosis (DMFD), diagnostic trouble codes (DTCs), parameter identifiers (PIDs), repair codes (LCs) I. ...
ACKNOWLEDGMENTS We thank GM ISL and NSF for their support of this work. Any opinions expressed in this paper are solely those of the authors and do not represent those of the sponsors. ...
doi:10.1109/icphm.2011.6024334
fatcat:oufmua7kv5fxviumpkhfeyyww4
Fault detection and classification using Kalman filter and genetic neuro-fuzzy systems
2011
2011 Annual Meeting of the North American Fuzzy Information Processing Society
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In this paper, an efficient scheme to detect and classify faults in a system using kalman filtering and hybrid neuro-fuzzy computing techniques, respectively, is proposed. ...
of the finer details of the fault, thus completing the overall fault diagnosis picture of the system under test. ...
Soft computing techniques are used to develop models required in FDI. ...
doi:10.1109/nafips.2011.5751925
fatcat:4gzp72oqc5bmxku46dxmg4b5mu
Scalable Distributed Diagnosis Algorithm for Wireless Sensor Networks
[chapter]
2011
Communications in Computer and Information Science
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This paper investigates the distributed self diagnosis problem for wireless sensor networks (WSN). One of the fundamental algorithm design issue for WSN is conservation of energy at each sensor node. ...
A heartbeat comparison based diagnosis model is proposed, which is shown to be energy efficient. ...
An interesting open question is whether a self diagnosis algorithm for dynamic fault situation with lower message cost can be developed that can either have same or less latency. ...
doi:10.1007/978-3-642-18440-6_51
fatcat:3qk7ggj4hbfbxelb3op4r6vziu
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems
2001
European Journal of Control
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Recent approaches to fault detection and isolation for dynamic systems using methods of integrating quantitative and qualitative model information, based upon soft computing (SC) methods are surveyed. ...
The paper discusses the properties of several methods of combining quantitative and qualitative system information and their practical value for fault diagnosis of real process systems. ...
Here we use the term "soft computing" (SC) for all methods employing computational intelligence algorithms, e.g. fuzzy logic, neural networks, neuro-fuzzy schemes, evolutionary programming, etc. ...
doi:10.3166/ejc.7.248-286
fatcat:v6hesxhjwbbtjfde6zci6qxv34
Soft Computing Techniques for Dependable Cyber-Physical Systems
[article]
2020
arXiv
pre-print
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In addition, this paper provides a comprehensive survey on the use of various soft computing techniques for making CPS dependable. ...
In this regard, soft computing is an emerging paradigm that can help to overcome the vulnerabilities, and unreliability of CPS by using techniques including fuzzy systems, neural network, evolutionary ...
Soft Computing in the Control Loop Soft computing is being used in improving the stability and fault tolerance of control systems. ...
arXiv:1801.10472v2
fatcat:2gsfqsmwgzevrchlpifxqmlyri
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