2010
DOI: 10.1109/jsen.2009.2033946
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Distributed Reflectometry Method for Wire Fault Location Using Selective Average

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Cited by 35 publications
(35 citation statements)
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“…The aggregation of all this information provides unambiguous location of the defect. This requires that the signal from one diagnosis system does not interfere with the others thus preventing from creating false alarms: an innovative averaging method based on the use of Walsh Hadamard sequences was proposed in [60].…”
Section: Embedded Distributed Diagnosismentioning
confidence: 99%
“…The aggregation of all this information provides unambiguous location of the defect. This requires that the signal from one diagnosis system does not interfere with the others thus preventing from creating false alarms: an innovative averaging method based on the use of Walsh Hadamard sequences was proposed in [60].…”
Section: Embedded Distributed Diagnosismentioning
confidence: 99%
“…This leads to frequency agility and adaptability which is ideal for live wire testing [5]. Unlike MCR, MCTDR has been implemented in distributed diagnosis strategy using a selective average method [8]. As its name indicates, this method consists in exploiting the averaging operation by using binary weighting coefficients.…”
Section: Reflectometry: State-of-the-artmentioning
confidence: 99%
“…These methods are interesting but remain limited as they require a huge post-processing procedure to reduce interference constraints. In complex wiring networks, a distributed diagnosis strategy is proposed [7], [8]. It consists in making reflectometry measurements at different points at the same time in order to reduce ambiguities caused by multipath signals propagation.…”
Section: Introductionmentioning
confidence: 99%
“…One of the ubiquitous techniques is reflectometry. The development of this technique increases its functionality and applications [3][4][5]. Unfortunately, the reflectometry response itself is not always self-sufficient to identify and locate the defects in the electrical connections and it is a reason why a solution of the inverse problem may also enhance the applicability of reflectometry [6,7].…”
Section: Introductionmentioning
confidence: 99%