Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles

Ayodeji, Ogunmola Gabriel; Singh, Bhopendra; Sharma, Dilip Kumar; Regin, R.; Rajest, S. Suman; Singh, Nrashant

doi:10.1109/iccike51210.2021.9410765

Cited by 46 publications

(1 citation statement)

References 14 publications

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“…A blend of discrete wavelet transformation (DWT) and empiric mode decay (EMD) is utilized within the proposed strategy to test blame location in transmission lines [56][57][58][59][60][61]. Big Data (BD), with its capability to determine esteemed experiences for an upgraded dynamic cycle, has as of late drawn in significant interest from scholastics and specialists [62].…”

Section: Proposed Systemmentioning

confidence: 99%

Smart Technology Based Empirical Mode Decomposition (EMD) Approach for Autonomous Transmission Line Fault Detection Protection

Al-Zubaydi

2022

EAI Endorsed Trans Energy Web

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Many novel technologies of property energy and cell, solar power, batteries, and high-efficient combustion are widely investigated to conserve energy and reduce emissions. Transmission lines (TLs) play a serious role in transmitting generated electricity to different distribution units in facility engineering. The transmission lines function as a link between shoppers and a Power Station. Faults usually occur within the transmission when positioned in an open field. Quick identification and sick line faults square measures required for the conventional operation of the plant. A way like distinct moving ridge rework (DWT) and (EMD) is used to locate and identify faults to resolve this disruption. DWT is used to break down fault transients, as a result of which the info can be collected at the same time in each time and frequency domain. EMD decomposes the TLs voltage into Intrinsic Mode operation (IMFs). Four varieties of fault signals are square measurements produced by the grid-connected facility. Line faults square measure induced MATLAB/Simulink mistreatment.

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