DataVXNondestructive Testing and EvaluationPaper
journal article·2017-07-03

Non-destructive diagnosis of wiring networks using time domain reflectometry and an improved black hole algorithm

M. K. Smail, H. R. E. H. Bouchekara, L. Pichon, H. Boudjefdjouf, A. Amloune, Z. Lacheheb

Nondestructive Testing and Evaluation· Volume 32· Issue 3
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Source abstract

Abstract

The aim of this paper is to propose a new efficient and reliable approach for the diagnosis of wiring networks using Time Domain Reflectometry (TDR) and an Improved Black Hole (IBH) optimisation algorithm. A forward model based on RLCG parameters and Finite Difference Time Domain (FDTD) method is developed to simulate the TDR response for a given wiring network. The IBH algorithm is used to solve the inverse problem in order to detect, characterise and localise defects in wiring networks. Experimental studies are performed to show that the proposed approach can be implemented for the diagnosis of real-world systems. The results presented here demonstrate that the proposed approach using TDR and IBH is an efficient and reliable diagnosis approach for wiring networks.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrical Fault Detection and Protection · Integrated Circuits and Semiconductor Failure Analysis · Electrostatic Discharge in Electronics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institut Polytechnique des Sciences Avancées, Ivry sur Seine, France

Constantine Electrical Engineering Laboratory, LEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, Constantine, Algeria

Laboratory of Electrical Engineering of Constantine, LGEC, Department of Electrical Engineering, University of Freres Mentouri Constantine, Constantine, Algeria

GeePs - Group of electrical engineering - Paris, UMR 8507 CNRS, Centrale Supelec, Université Paris Sud, 91192 Gif-sur-Yvette, Cedex, France

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