Cable Fault Localization Using Instantaneous Frequency Estimation in Gaussian-Enveloped Linear Chirp Reflectometry

Lee, Chun Ku; Kwak, Ki Seok; Yoon, Tae Sung; Park, Jin Bae

doi:10.1109/tim.2012.2212514

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…But it is difficult to use a PD detection because partial discharge pulse easily affected by noise. Also, reflectometry-based fault detection methods, time domain reflectometry (TDR) [2], frequency domain reflectometry (FDR) [3], time-fre -quency domain reflectometry (TFDR) [4]� [6] have been developed. The TFDR-method is most suitable for fault detection on cable [4].…”

Section: Introductionmentioning

confidence: 99%

Application of time-frequency domain reflectometry based on multi-band signal for detection and localization of fault on cable

Jung

Shin

Park

2014

2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)

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This paper presents time-frequency domain reflectometry (TFDR)-fault detection method based on frequency division multiplexed (FDM) signal. The TFDR-method sends a reference signal into a cable and measures the reflected signals to detect a fault on cable. Therefore, the performance of TFDR-based detection method is determined by characteristic of the reference signal. Especially, choosing frequency band of the reference signal is main concern of TFDR-method since it suffers from trade-off relation between spatial resolution and attenuation of the reference signal. If one increases frequency band of reference signal to improve spatial resolution, the signal suffers from attenuation in cable. That is trade-off relation of signal. Thus, to optimize this trade-off issue, we propose multi-band signal based on FDM. This approach is able to synthesize two signals which have different frequency band; one is designed for the spatial resolution, and the other is used for attenuation. Hence, in TFDR-method, the proposed reference signal can solve the optimization problem and gives more accurate fault location without the distance limitation caused by attenuation and spatial resolution. Simulation results show that the proposed method localizes the accurate fault location.

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Section: Introductionmentioning

confidence: 99%

Application of time-frequency domain reflectometry based on multi-band signal for detection and localization of fault on cable

Jung

Shin

Park

2014

2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)

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“…Localizing the fault is an important part of the repair process. With advanced fault detectors or methods like described in [6]- [8], it becomes easier to localise the fault within limited time. Other activities like getting money back from the insurance can be managed after the cable is repaired.…”

Section: A Reducing the Repair Time And Failure Frequencymentioning

confidence: 99%

“…Most existing studies concentrate on particular aspects of underground cable connections. For example, the diagnosis of underground cables was studied in [3]- [5], and fault localisation in [6]- [8]. A method to include the aging process of MV XLPE cables into the reliability analysis was presented in [9].…”

mentioning

confidence: 99%

Reliability of Transmission Links Consisting of Overhead Lines and Underground Cables

Tuinema

Rueda

Sluis

et al. 2016

IEEE Trans. Power Delivery

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Underground cables will be applied more often within new connections of the Extra-High-Voltage (EHV) transmission network. As EHV underground cables are a relatively new technology, not much is known about their behaviour in large transmission networks. Underground cable connections (consisting of cables, joints and terminations) are in general less reliable than traditional overhead lines, mainly because of their much longer repair time. This can negatively influence the reliability of the transmission network as well. It is therefore of interest to study the reliability of underground cable connections in detail. This paper concentrates on the reliability of EHV underground cable and overhead line connections. Based on actual failure statistics of individual components, the reliability of a connection is analysed, it is studied which factors are of influence and what measures can be taken to improve the reliability. An optimised cable repair process and a configuration with additional disconnectors are two solutions.

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“…Detection methods based on the electromagnetic wave, called reflectometry methods, are useful for fault localization and monitoring of the health of a cable with insulator. Reflectometry methods can be categorized into time domain reflectometry (TDR), frequency domain reflectometry (FDR), and time-frequency domain reflectometry (TFDR) [2][3][4][5][6][7] depending on the incident signal type. TDR and FDR use a step pulse and sinusoidal pulse defined in the time domain and frequency domain, respectively.…”

Section: Introductionmentioning

confidence: 99%

Compensation for Group Velocity of Polychromatic Wave Measurement in Dispersive Medium

Chang

Moon

2017

Applied Sciences

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Abstract:The estimation of instantaneous frequency (IF) method is introduced to compensate for the group velocity of electromagnetic wave in dispersive medium. The location of the reflected signal can be obtained by using the time-frequency cross correlation (TFCC), following which it is used to extract the transmitted signal from the total signal acquired. The signal propagated in the dispersive medium is attenuated and distorted by the attenuation characteristics, which depend on the frequency of the medium. By using the IF curve calculated for the transmitted signal, the changed center frequency and time terms can be obtained. The obtained terms are used to compensate for the group velocity error induced by signal distortion and attenuation. Through experiments and simulation, the accuracy of the proposed method is 2% higher than that of the conventional method when the signal propagates over a long distance.

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Cable Fault Localization Using Instantaneous Frequency Estimation in Gaussian-Enveloped Linear Chirp Reflectometry

Cited by 17 publications

References 22 publications

Application of time-frequency domain reflectometry based on multi-band signal for detection and localization of fault on cable

Application of time-frequency domain reflectometry based on multi-band signal for detection and localization of fault on cable

Reliability of Transmission Links Consisting of Overhead Lines and Underground Cables

Compensation for Group Velocity of Polychromatic Wave Measurement in Dispersive Medium

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