Time reversal applied to fault location in power networks: Pilot test results and analyses

Wang, Zhaoyang; Razzaghi, Reza; Paolone, Mario; Rachidi, Farhad

doi:10.1016/j.ijepes.2019.105382

Cited by 24 publications

(16 citation statements)

References 29 publications

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“…After a fault of the marine blower occurs, the energy contained in its vibration signal will also change. According to the different energy distribution under different working conditions, the fault type can be identified [27]. After the vibration signals under different working conditions are decomposed by EEMD, the energy of each IMF is different, which can be used as a fault feature.…”

Section: Energy Principlementioning

confidence: 99%

A Novel Fault Diagnosis Method for Marine Blower with Vibration Signals

Yan

Jiang

2022

Polish Maritime Research

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The vibration signals on marine blowers are non-linear and non-stationary. In addition, the equipment in marine engine room is numerous and affects each other, which makes it difficult to extract fault features of vibration signals in the time domain. This paper proposes a fault diagnosis method based on the combination of Ensemble Empirical Mode Decomposition (EEMD), an Autoregressive model (AR model) and the correlation coefficient method. Firstly, a series of Intrinsic Mode Function (IMF) components were obtained after the vibration signal was decomposed by EEMD. Secondly, effective IMF components were selected by the correlation coefficient method. AR models were established and the power spectrum was analysed. It was verified that blower failure can be accurately diagnosed. In addition, an intelligent diagnosis method was proposed based on the combination of EEMD energy and a Back Propagation Neural Network (BPNN), with a correlation coefficient method to get effective IMF components, and the energy components were calculated, normalised as a feature vector. Finally, the feature vector was sent to the BPNN for training and state recognition. The results indicated that the EEMD-BPNN intelligent fault diagnosis method is suitable for higly accurate fault diagnosis of marine blowers.

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Section: Energy Principlementioning

confidence: 99%

A Novel Fault Diagnosis Method for Marine Blower with Vibration Signals

Yan

Jiang

2022

Polish Maritime Research

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“…The precise estimation of the arrival instants of the reflected waves (either from the fault location or other line terminals) can be challenging in some realistic fault scenarios, such as the case featuring a small fault inception angle or high fault impedance. The EMTR method, on the other hand, has been proven to be effective in such cases [e.g., Wang et al (2020b), An et al (2021), Wang et al (2022)].…”

Section: Electromagnetic Time Reversal Applied To Fault Location In P...mentioning

confidence: 99%

“…Different types of full-scale experiments, including field experiments and pilot tests, have been performed worldwide in the past years, with particular attention to assessing the fault location performance of the EMTR method in real power-system environments. So far, three experimental studies have been reported in the literature Wang et al (2018a), Wang et al (2020b), Kafal et al (2021a). Note that a series of reduced-scale experiments in laboratory environments were also conducted during the same period, providing a preliminary validation of some of the foregoing EMTR fault location metrics [e.g., Razzaghi et al (2013a), He et al (2018)].…”

Section: Experimental Study Of Electromagnetic Time Reversal-based Fa...mentioning

confidence: 99%

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A review of time reversal-based methods applied to fault location in power networks

Wang

Razzaghi

et al. 2022

Front. Energy Res.

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Electromagnetic time reversal (EMTR)-based methods have been applied to the problem of fault location in power networks since 2012. Over the past decade, considerable theoretical investigations have led to a continuous improvement of the EMTR method in terms of fault location accuracy and efficiency. Meanwhile, different full-scale experiments, including pilot tests, were carried out, demonstrating the applicability and robustness of the EMTR method when applied to real power-system environments. This paper presents a review of the foregoing theoretical and experimental studies. Furthermore, suggestions for future studies are propounded, along with discussing various challenging research questions that still need to be addressed.

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“…TBM are found throughout the literature to implement either direct transient correlation [13], [14], [20] or indirect comparison involving normalized projections. This last case has been mostly given consideration under the electromagnetic time-reversal (EMTR) technique [15], [17], [21], [23], [24]. In fact, it was proven in [16] that EMTR mimics a correlation metric.…”

mentioning

confidence: 99%

Surge Compression for Improved Fault Location Accuracy in Full Transient-Based Methods

Cozza

2021

IEEE Sensors J.

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This paper proves that the accuracy of singleended fault location techniques based on the correlation of fault transients in power lines can be significantly improved by inversefiltering transients first. The reason for this improved accuracy is found in the reduction of the duration of the fault surge signal, thus increasing the sensitivity of fault-location metrics to the fault position. Reported results show that by using the proposed filtering strategy, faster sampling rates systematically and significantly improve the location accuracy, as opposed to the case when no filter is applied, for which virtually no improvement is observed. Because of its higher spatial selectivity, the proposed fault-location technique required the development of a new synchronization method, which ensures a precise transient synchronization without the need for high-speed sampling. It is concluded that by jointly using the proposed transient filtering and synchronization solutions, correlation-based fault location can be significantly improved even when using sampling rates as low as 100 kHz. Extensive numerical simulations for a threephase transmission line confirm an improvement exceeding one order of magnitude in the fault location accuracy, for both lowand high-impedance faults.

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Time reversal applied to fault location in power networks: Pilot test results and analyses

Cited by 24 publications

References 29 publications

A Novel Fault Diagnosis Method for Marine Blower with Vibration Signals

A Novel Fault Diagnosis Method for Marine Blower with Vibration Signals

A review of time reversal-based methods applied to fault location in power networks

Surge Compression for Improved Fault Location Accuracy in Full Transient-Based Methods

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