An immune inspired fault diagnosis system for analog circuits using wavelet signatures

Amaral, Jorge; Amaral, J.F.M.; Tanscheit, Ricardo; Pacheco, Marco Aurélio Cavalcanti

doi:10.1109/eh.2004.1310822

Cited by 14 publications

(9 citation statements)

References 6 publications

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“…The design of an AIS is quite similar to the design of other traditional computational intelligence approaches, such as genetic algorithms. These systems have been used in many applications, including classical system-level diagnosis [Amaral et al 2004;Dasgupta et al 2004;Ishida 1997]. Elhadef et al [2006c] argue that the genetic diagnosis algorithm suffers from a loss in population diversity due especially to the use of an adaptive mutation operator.…”

Section: Artificial-immune-system Comparison-based Diagnosismentioning

confidence: 98%

A survey of comparison-based system-level diagnosis

2011

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ParanáThe growing complexity and dependability requirements of hardware, software, emd networks demand efficient techniques for discovering disruptive behavior in those systems. Comparison-based diagnosis is a realistic approach to detect faulty units based on the outputs of tasks executed by system units. This survey integrates the vast amount of research efforts that have been produced in this field, from the earliest theoretical models to new promising applications. Key results also include the quantitative evaluation of a relevant reliability metric-the diagnosability-of several popular interconnection network topologies. Relevant diagnosis algorithms are also described. The survey aims at clarifying and uncovering the potential of this technology, which can be applied to improve the dependability of diverse complex computer systems. . 2011. A survey of comparison-based system-level diagnosis.

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Section: Artificial-immune-system Comparison-based Diagnosismentioning

confidence: 98%

A survey of comparison-based system-level diagnosis

2011

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“…In addition, when v i is a faulty tester, it can be easily concluded that Φ +1 (σ F , σF , v i ) = 1 without conducting any comparison between test results in both syndromes since we have made a default assumption for the potential syndrome as shown in Eqn. (1).…”

Section: Formulation Of the Fault Diagnosis Problem Using Aismentioning

confidence: 99%

“…In this paper, we propose and evaluate an approach, based on AIS, to solve the system-level fault diagnosis problem. Artificial immune systems have been widely applied to many fields, including fault diagnosis [1] [7] [11]. The AIS-based diagnosis algorithm described in this paper is based on the PMC model and is capable of identifying the set of faulty nodes in all t-diagnosable multiprocessor and multicomputer systems.…”

Section: Introductionmentioning

confidence: 99%

An evolutionary approach to system-level fault diagnosis

Yang

Elhadef

Nayak

et al. 2009

2009 IEEE Congress on Evolutionary Computation

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Artificial immune systems (AIS) have been widely applied to many fields such as data analysis, multimodal function optimization, error detection, etc. In this paper, we show how AIS can be used for system-level fault diagnosis. Experimental results from a thorough simulation study and theoretical analysis demonstrate the effectiveness of the AIS-based diagnosis approach for different small and large systems in both the worst and average cases, making it a viable addition to the existing diagnosis algorithms.

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“…Artificial immune systems have been widely applied to many fields, including fault diagnosis [2] [6] [10]. The AIS-based diagnosis algorithm described in this paper is based on the PMC model and is capable of identifying the set of faulty nodes in all t-diagnosable multiprocessor and multicomputer systems.…”

Section: Introductionmentioning

confidence: 99%

Network Fault Diagnosis: An Artificial Immune System Approach

Yang

Elhadef

Nayak

et al. 2008

2008 14th IEEE International Conference on Parallel and Distributed Systems

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Artificial immune systems (AIS) have been widely used in many fields such as data analysis, multimodal function optimization, error detection, etc. In this paper, we introduce a novel artificial immune systems approach for diagnosing faults in a network of processors under the PMC model. We investigate how AIS can be used for system-level fault diagnosis. Our theoretical analysis and experimental results demonstrate the effectiveness of the AIS-based diagnosis approach for small and large class of networks in both the worst and average cases, making it a viable alternative to traditional fault diagnosis approaches.

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An immune inspired fault diagnosis system for analog circuits using wavelet signatures

Cited by 14 publications

References 6 publications

A survey of comparison-based system-level diagnosis

A survey of comparison-based system-level diagnosis

An evolutionary approach to system-level fault diagnosis

Network Fault Diagnosis: An Artificial Immune System Approach

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