2018
DOI: 10.3390/s18113724
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Non-Intrusive Cable Fault Diagnosis Based on Inductive Directional Coupling

Abstract: This paper presents and applies an inductive directional coupling technology based on spread spectrum time domain reflectometry (SSTDR) for non-intrusive power cable fault diagnosis. Different from existing capacitive coupling approaches with large signal attenuation, an inductive coupling approach with a capacitive trapper is proposed to restrict the detection signal from transmitting to power source and to eliminate the effect of the power source impedance mismatch. The development, analysis, and implementat… Show more

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Cited by 3 publications
(5 citation statements)
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“…Time variation, which may occur due to interference, has also been identified. Article [32] describes the possible detection of cable fault diagnosis by spread spectrum time domain reflectometry (SSTDR), which is a non-intrusive method. The authors test their idea using a simulation, and then experiment on a short cable that is approximately 20 m long.…”
Section: Related Work-plc/bpl As a Diagnostic Toolmentioning
confidence: 99%
“…Time variation, which may occur due to interference, has also been identified. Article [32] describes the possible detection of cable fault diagnosis by spread spectrum time domain reflectometry (SSTDR), which is a non-intrusive method. The authors test their idea using a simulation, and then experiment on a short cable that is approximately 20 m long.…”
Section: Related Work-plc/bpl As a Diagnostic Toolmentioning
confidence: 99%
“…Until now, the efficiency of reflectometry-based methods for cable diagnostics has been demonstrated [8][9][10][11][12][13][14]. In particular, time-frequency domain reflectometry (TFDR) [12,13] proves the robustness of fault diagnosis in a variety of conditions because it utilizes information in time and frequency domains.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, because automated machines in the factory floor are not easily accessible, additional equipment is not preferable when conducting diagnosis. Therefore, all the diagnosis methods that require additional equipment [8][9][10][11][12][13][14][15] are not preferable. In addition, the automation machines in manufacturing lines work round the clock; therefore, using an offline diagnostic approach with no online diagnostic capability is not preferable.…”
Section: Introductionmentioning
confidence: 99%
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