DataVXNondestructive Testing and EvaluationPaper
journal article·2019-01-02

An intelligent wire fault diagnosis approach using time domain reflectometry and pattern recognition network

Ali Amloune, Houssem R. E. H. Bouchekara, Mostafa K. Smail, Francesco de Paulis, Antonio Orlandi, Hamza Boudjefdjouf, Mohamed Y. Kaikaa

Nondestructive Testing and Evaluation· Volume 34· Issue 1
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Source abstract

Abstract

The aim of this paper is to develop a new approach for wiring networks diagnosis. This approach is based on time domain reflectometry (TDR) and pattern recognition network all combined with a simple localisation and characterisation algorithm. The developed approach has the advantage of being fast, reliable and accurate. The TDR responses are generated using the analytical transmission line method. Furthermore, the manipulated data are reduced since only the main peaks are exploited. The performance of the proposed approach has been assessed using four cases, two using a simple Y-shaped network and two using a more complicated YY-shaped network. The obtained results are very satisfactory, and they show the applicability of the proposed approach for real systems.
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

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

Department of Electrical Engineering, University of Hafr Al BatinSaudi Arabia

Institut Polytechnique des Sciences Avancées (IPSA), Ivry-sur-Seine, France

UAq EMC Laboratory, Department of Industrial and Information Engineering and Economics, University of L’Aquila, L’Aquila, Italy

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

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