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Neha Gautam

Bio: Neha Gautam is an academic researcher. The author has contributed to research in topics: Fault (power engineering) & Fault detection and isolation. The author has an hindex of 2, co-authored 2 publications receiving 23 citations.

Papers
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Proceedings ArticleDOI
01 Sep 2018
TL;DR: This paper presents wavelet transform based fault detection scheme for the protection of series capacitor compensated double circuit transmission lines using Daubechies-4 mother wavelet up to level-1.
Abstract: This paper presents wavelet transform based fault detection scheme for the protection of series capacitor compensated double circuit transmission lines. Three phase current of both circuits measured at relay location are used for the detection of fault. Three phase current of both circuits are processed using Daubechies-4 mother wavelet up to level-1. Performance of wavelet transform is tested for inter-circuit faults, cross-country faults, faults at boundary locations, fault resistance variation, ground resistance variation, fault inception time variation and fault location variation. Accuracy of wavelet transform scheme is 100%.

20 citations

Proceedings ArticleDOI
01 Mar 2019
TL;DR: The main benefit of the proposed wavelet transform based technique is that it offers primary protection to the complete transmission line length using single terminal fault current data only and it correctly detects the fault and identify the faulty phase.
Abstract: In this research paper, wavelet transform based technique has been used for fault detection and faulty phase identification in a series capacitor compensated double circuit transmission line (SCCDCTL). The proposed technique has been extensively tested using the MATLAB/SIMULINK test system of a SCCDCTL. The fault data in the current signals of both circuits has been captured using wavelet transform, which aspires at fault detection and identifying the faulty phase. Capability of the proposed technique is evaluated under a wide variation of fault parameters such as fault type, fault inception time, fault location, fault resistance and ground resistance. The main benefit of the proposed technique is that it offers primary protection to the complete transmission line length using single terminal fault current data only. The simulation results of the wavelet transform based proposed technique specifies that it correctly detects the fault and identify the faulty phase.

7 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the medical robots are comprised of manipulators arm that is the multi-dependency multi-task manipulator and the manipulator arm is used to perform the surgical operations.
Abstract: Robot-assisted surgical procedures have gained much coverage in recent years and favored over manually conducted operations. The medical robots are comprised of manipulators arm that is the multi-d...

17 citations

Proceedings ArticleDOI
29 Mar 2019
TL;DR: Wavelet transform transform is utilized for fault detection and faulty phase identification in a series capacitor compensated three phase transmission line and shows that the proposed technique correctly detects the faults and identifies the faulty phase.
Abstract: In this study, wavelet transform is utilized for fault detection and faulty phase identification in a series capacitor compensated three phase transmission line. The series capacitor compensation originates issues in protection schemes of the three phase transmission lines. The proposed technique has been broadly tested using the MATLAB/ SIMULINK test system of a 400 kV, 50 Hz and 300 km long series capacitor compensated three phase transmission line. The three phase currents recorded at only one terminal of the transmission line are used to evaluate wavelet coefficients. Daubechies-5 wavelet is used for the processing of the three phase current signals. A broad range of test studies were carried out for numerous types of shunt faults by varying various fault parameters. Moreover, the proposed technique is also robust to transforming and cross-country faults. The simulation results of the proposed work shows that the proposed technique correctly detects the faults and identifies the faulty phase.

11 citations

Proceedings ArticleDOI
01 Dec 2018
TL;DR: The simulation results of wavelet transform based protection technique signify that the proposed method accurately detects and classifies the boundary faults.
Abstract: In this paper, wavelet transform based technique is proposed to detect and classify the close-in and remote-end faults in six phase transmission line. The magnitude of detail coefficients contained in a fault current signal is extracted using daubechies-5 wavelet. Furthermore, the norm of the detail coefficients of current signal in each phase is then calculated which aspires at classifying the faulty phase. Simulation studies were carried out in MATLAB for various types of near-end and far-end faults with variation in fault parameters. The simulation results of wavelet transform based protection technique signify that the proposed method accurately detects and classifies the boundary faults.

11 citations

Journal ArticleDOI
TL;DR: Wavelet transform based technique is introduced to detect and classify the faults in a series capacitor compensated double circuit transmission line and proves that all types of faults are correctly detected and the faulty phase is accurately identified using proposed technique.
Abstract: In this paper, wavelet transform based technique is introduced to detect and classify the faults in a series capacitor compensated double circuit transmission line. The three phase currents of both circuits measured at only one end of the series compensated double circuit transmission line are used to calculate the approximate and high frequency detail coefficients including wavelet energy content of each phase current signal. To evaluate the performance of proposed fault detection technique, simulation studies have been carried out on a series capacitor compensated double circuit transmission line test system. The major advantage of this proposed scheme is that it offers protection to entire transmission line length using one end fault current data only. The test results prove that all types of faults are correctly detected and the faulty phase is accurately identified using proposed technique. This technique is robust to the variation in fault type, fault inception time, fault resistance, ground resistance and fault location. Keywords: Fault detection, fault classification, series capacitor compensated double circuit transmission line, wavelet transform

9 citations

Proceedings ArticleDOI
01 Mar 2019
TL;DR: The main benefit of the proposed wavelet transform based technique is that it offers primary protection to the complete transmission line length using single terminal fault current data only and it correctly detects the fault and identify the faulty phase.
Abstract: In this research paper, wavelet transform based technique has been used for fault detection and faulty phase identification in a series capacitor compensated double circuit transmission line (SCCDCTL). The proposed technique has been extensively tested using the MATLAB/SIMULINK test system of a SCCDCTL. The fault data in the current signals of both circuits has been captured using wavelet transform, which aspires at fault detection and identifying the faulty phase. Capability of the proposed technique is evaluated under a wide variation of fault parameters such as fault type, fault inception time, fault location, fault resistance and ground resistance. The main benefit of the proposed technique is that it offers primary protection to the complete transmission line length using single terminal fault current data only. The simulation results of the wavelet transform based proposed technique specifies that it correctly detects the fault and identify the faulty phase.

7 citations