Online Detection and Location of Soft Faults in Wired-Power Networks

The past decade has witnessed an insane exponential upraise in research and development in different technological systems. This was accompanied by advanced complex electrical employments striving for more and more electrical energy. Accordingly, extended and wider power networks for energy transmission and distribution became necessary to cover this increasing demand. Unfortunately, power networks are confronted by natural and human-made disorders leading to the appearance of faults. In this paper, an approach based on the tenets of the time reversal concept is proposed. This approach, referred to as the on-line time reversal (OTR), benefits from the time reversibility of wave equations to refocus the time-reversed back-propagated electromagnetic waves onto the location of the fault. The main advantage of the OTR is its ability to test live transmission line networks without the need to disconnect the whole network from its infrastructure. In order to verify the feasibility of the proposed method in detecting faults and to evaluate its accuracy in localization, simulation and experimental based setups have been conducted targeting single and branched transmission line networks. The obtained results verify that the use of OTR leads to accurate detection and location of faults in different wiring configurations.

[1]  Cynthia Furse,et al.  A critical comparison of reflectometry methods for location of wiring faults , 2006 .

[2]  Lionel Pichon,et al.  Locating Multiple Soft Faults in Wire Networks Using an Alternative DORT Implementation , 2016, IEEE Transactions on Instrumentation and Measurement.

[3]  C. Furse,et al.  The invisible fray: a critical analysis of the use of reflectometry for fray location , 2006, IEEE Sensors Journal.

[4]  Lionel Pichon,et al.  An efficient technique based on DORT method to locate multiple soft faults in wiring networks , 2015, 2015 IEEE AUTOTESTCON.

[5]  Cynthia Furse,et al.  Frequency-domain reflectometry for on-board testing of aging aircraft wiring , 2003 .

[6]  C. Furse,et al.  Mixed-signal reflectometer for location of faults on aging wiring , 2005, IEEE Sensors Journal.

[7]  Mathias Fink,et al.  Eigenmodes of the time reversal operator: a solution to selective focusing in multiple-target media , 1994 .

[8]  Lionel Pichon,et al.  A Noniterative Method for Locating Soft Faults in Complex Wire Networks , 2013, IEEE Transactions on Vehicular Technology.

[9]  A. Devaney,et al.  Time-reversal imaging with multiple signal classification considering multiple scattering between the targets , 2004 .

[10]  Fabrice Auzanneau,et al.  WIRE TROUBLESHOOTING AND DIAGNOSIS: REVIEW AND PERSPECTIVES , 2013 .

[11]  Marc Saillard,et al.  Decomposition of the Time Reversal Operator for Electromagnetic Scattering , 1999 .

[12]  Cynthia Furse,et al.  Down to the wire , 2001 .

[13]  F. Rachidi,et al.  An Efficient Method Based on the Electromagnetic Time Reversal to Locate Faults in Power Networks , 2014, IEEE Transactions on Power Delivery.

[14]  C. Furse,et al.  Analysis of spread spectrum time domain reflectometry for wire fault location , 2005, IEEE Sensors Journal.

[15]  Lionel Pichon,et al.  Locating Faults With High Resolution Using Single-Frequency TR-MUSIC Processing , 2016, IEEE Transactions on Instrumentation and Measurement.

[16]  C. Furse,et al.  Noise-domain reflectometry for locating wiring faults , 2005, IEEE Transactions on Electromagnetic Compatibility.