Modeling and Tracking of Underground Cable Fault Using Genetic Algorithm

被引：0

作者：

Mishra, Sanhita ^{[1
]}

Roy, Subhadeep ^{[2
]}

Swain, Sarat Chandra ^{[1
]}

Routray, Aurobinda ^{[3
]}

机构：

[1] KIIT Deemed Be Univ, Bhubaneswar, India

[2] IISC, Bangalore, Karnataka, India

[3] IIT, Kharagpur, W Bengal, India

来源：

SMART TECHNOLOGIES FOR POWER AND GREEN ENERGY, STPGE 2022 | 2023年 / 443卷

关键词：

Underground cable; Genetic algorithm; Parameter estimation; FREQUENCY ESTIMATION; KALMAN FILTER; SIGNALS;

D O I：

10.1007/978-981-19-2764-5_33

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the genetic algorithm has been implemented to track the fault signals generated in an underground cable. In addition, GA has also been implemented for estimating the parameters such as amplitude, phase, and frequency of the fault signals. Several faults have been simulated to study the consistency of genetic algorithm for tracking the signals. The robustness of the algorithm has been validated by tracking a fault signal with additive white Gaussian noise. It reveals that GA performs better and can reliably estimate the fault signal in a noisy environment.

引用

页码：407 / 414

页数：8

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