200
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

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

, , , , , & show all
Pages 99-116 | Received 02 Sep 2018, Accepted 04 Dec 2018, Published online: 27 Dec 2018

References

  • National Science and Technology Council (U.S.). Review of Federal Programs for Wire System Safety: Final Report. Washington (DC): Executive Office of the President of the United States; 2000.
  • Auzanneau F. Wire troubleshooting and diagnosis: review and perspectives. Prog Electromagn Res. 2013;49(February):253–279.
  • Scaddan B. IET wiring regulations: wiring systems and fault finding for installation electricians. 7th ed. London: Routledge; 2015.
  • Shull KR, Brinson LC, Nunalee N, et al. Aging characterization of polymeric insulation in aircraft wiring via impedance spectroscopy. 5th Joint NASA/FAA/DoD Conf. Orlando (FL): Aiging Aircraſt; 2001 Jan;2001. p. 1–11.
  • Furse C, Chung Y, Lo C, et al. A critical comparison of reflectometry methods for location of wiring faults. Smart Struct Syst. 2006;2(1):25–46.
  • Anderson WE, Ramboz JD, Ondrejka AR. The detection of incipient faults in transmission cables using time domain reflectometry techniques: technical challenges. EEE Trans Power Appar Syst. 1982;PAS-101(7):1928–1934.
  • Furse C, Chung YC, Dangol R, et al. Frequency-domain reflectometery for on-board testing of aging aircraft wiring. IEEE Trans Electromagn Compat. 2003;45(2):306–315.
  • Smith P, Furse C, Gunther J. Analysis of spread spectrum time domain reflectometry for wire fault location. IEEE Sens J. 2005;5(6):1469–1478.
  • Sharma CR, Furse C, Harrison RR. Low-power STDR CMOS sensor for locating faults in aging aircraft wiring. IEEE Sens J. 2007;7(1):43–50.
  • Lelong A, Carrion MO, Degardin V, et al. On line wire diagnosis by modified spread spectrum time domain reflectometry. PIERS Proceeding; Cambridge, USA; p. 182–186.
  • Lelong A, Carrion MO. On line wire diagnosis using multicarrier time domain reflectometry for fault location. Vol. 5. IEEE Sensors Conference; Christchurch (New Zealand); 2009. p. 751–754.
  • Ben Hassen W, Auzanneau F, Incarbone L, et al. OMTDR using BER estimation for ambiguities cancellation in ramified networks diagnosis. Vol. 1. Proceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013; Melbourne (Australia); 2013. p. 414–419.
  • Clayton RP. Analysis of multiconductor transmission lines. Wiley-IEEE Press; 2007.
  • Shirkoohi G. Modelling of fault detection in electrical wiring. IET Sci Meas Technol. 2015;9(2):211–217.
  • De Paulis F, Boudjefdjouf H, Bouchekara HREH, et al. Performance Improvements of wire fault diagnosis approach based on time-domain reflectometry. IET Sci Meas Technol. 2017;11(5):538–544.
  • Barrett JS, Green MA. A statistical method for evaluating electrical failures. IEEE Trans Power Deliv. 1994;9(3):1524–1530.
  • Lundstedt J, Strom S, He S. Time-domain signal restoration and parameter reconstruction on an lcrg trtansmission line. ISSSE ’95, Proceedings., 1995 URSI International Symposium on Signals, Systems, and Electronics; San Francisco, CA; 1995. p. 323–326.
  • Smail MK, Pichon L, Olivas M, et al. Detection of defects in wiring networks using time domain reflectometry. IEEE Trans Magn. 2010;46(8):2998–3001.
  • Smail MK, Bouchekara HREH, Pichon L, et al. Diagnosis of wiring networks using particle swarm optimization and genetic algorithms. Comput Electr Eng. 2014;40(7):2236–2245.
  • Bouchekara HREH, Smail MK, Dahman G. Diagnosis of multi-fault wiring network using time-domain reflectometry and electromagnetism-like mechanism. Electromagnetics. 2013;33(2):131–143.
  • Smail MK, Bouchekara HREH, Pichon L, et al. Non-destructive diagnosis of wiring networks using time domain reflectometry and an improved black hole algorithm. Nondestruct Test Eval. 2016;9759(July):1–15.
  • Boudjefdjouf H, Mehasni R, Orlandi A, et al. Diagnosis of multiple wiring faults using time-domain reflectometry and teaching–learning-based optimization. Electromagnetics. 2015;35(1):10–24.
  • Smail MK, Hacib T, Pichon L, et al. Detection and location of defects in wiring networks using time-domain reflectometry and neural networks. IEEE Trans Magn. 2011;47(5):1502–1505.
  • Smail MK, Le Bihan Y, Pichon L. Fast diagnosis of transmission lines using neural networks and principal component analysis. Int J Appl Electromagn Mech. 2012;39(1–4):435–441.
  • Ben Hassen W, Auzanneau F, Peres F, et al. A distributed diagnosis strategy using Bayesian network for complex wiring networks. IFACA-MEST Worshop; Nov; Seville (Spain); 2012. p. 42–47.
  • Bishop CM. Pattern recognition and machine learning (Information science and statistics). Berlin (Germany): Springer-Verlag; 2006.
  • Bishop CM. Neural networks for pattern recognition. J Am Stat Assoc. 1995;92:482.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.