Transmission Line Fault Monitoring and Identification System by Using Internet of Things

Sampath, Suresh; Nagarajan, R.; Sakthivel, L.; Logesh, V.; Mohandass, C.; Tamilselvan, G.

doi:10.22161/ijaers.4.4.2

Cited by 17 publications

(9 citation statements)

References 12 publications

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“…Comparative step response for PID regulated system and FLC controlled system.The fuzzy inference diagram is the composite of all the smaller diagrams presented so far in this section. It simultaneously displays all parts of the fuzzy inference process we have examined [29]- [35]. It's solve problem rise from some plant are defaulted to represent in mathematical model, also in some plant to design the approaches mathematical model you must neglect some parameter.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Performance Improvements of Separately Excited Dc Motor Using Fuzzy Logic Control

Nagarajan¹,

Gokulkannan²,

Dinesh³

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

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This paper demonstrates the importance of a fuzzy logic controller over conventional method. The performance of the separately excited DC motor is analyzed by using fuzzy logic controller (FLC) in MATLAB/SIMULINK environment. The FLC speed controller is designed based on the expert knowledge of the fuzzy rules system. The proposed DC motor speed control fuzzy rules are designed for fuzzy logic controller. The output response of the system is obtained by using fuzzy logic controller. The designed fuzzy controller for speed control performance is investigated. Significantly reducing the overshoot and shortening the settling time of the speed response of the motor. They validate different control of approaches, the simulation results show improvement in motor efficiency and speed performance.

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Section: Fuzzy Logic Controllermentioning

confidence: 99%

Performance Improvements of Separately Excited Dc Motor Using Fuzzy Logic Control

Nagarajan¹,

Gokulkannan²,

Dinesh³

et al. 2020

Int. J. Eng. Tech. Mgmt. Res.

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show abstract

“…Each bit data of display RAM links to on/off state of a liquid crystal display. LCD is used in widespread applications due to the following reasons: The declining prices of LCDs , ability to display numbers, characters, and graphics, incorporation of a stimulating regulator into the LCD, thus, releasing the CPU of the duty of revitalizing the LCD, and ease of programming for characters and graphics [34]. The figure 8 shows the image of a 16x2 LCD display.…”

Section: Fig7 At Mega162 Microcontroller Pin Diagrammentioning

confidence: 99%

Remote Monitoring and Control of Boat Using Lora Technology

Nagarajan¹,

Kumar²,

Kumar‐Sinha³

et al. 2019

IJAEMS

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This work is a prototype boat that can travel in water. This robot is powered by rechargeable battery. The direction of the robot can be precise by an RF remote. This can be moved forward and reverse direction by using geared motors, also this robot can take sharp turnings towards left and right directions. In this work the LPC2148, DC Servomotors, RF Technology; L293D H-Bridge is used to drive the DC Servomotor. A high sensitive camera is also interfaced to capture the surrounding things and also to transmit to the remote place. The RF modules used here are STT-868 MHz Transmitter, STR-868 MHz Receiver. The three switches are connected to the RF transmitter through RF Encoder. The encoder constantly recites the position of the switches and permits the data to the RF transmitter and the transmitter transmits the data for further process.

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“….Calculation of incidence angles and calculation of fault distance by: 1 The errors shown in the previous tables are calculated according to the statements shown below. For the errors in the calculation of the values of the angles was used the equation (4). In this equation the real values and the calculated values are considered.…”

Section: Table3: Biphasic Fault Between A−b Phases Distance 40km and Sample Frequency Of 200mentioning

confidence: 99%

Fault Location in Power Transmission Lines using Autocorrelation Function

Souza¹,

Christo²,

Almeida³

et al. 2018

IJAERS

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An electrical power system is subject to constant adversities due to its complexity, sensitivity and physical dimensions. Special emphasis is given to transmission lines (TL) that are the most vulnerable elements of an electrical system. Although most of the occurrences of distortions in the voltage signals from atmospheric discharges and overload are not detrimental to the energy supply, it is important to have control of these currents, since this allows the classification of the fault type and its geometric location on the transmission line. This study aims to compare different fault situations in a transmission line and to verify changes in time series models (TS). This study was carried out through computational tests performed with MatLAB®and RStudio® software. A total of 272faults were simulated in different situations. The obtained results were compared with the Traveling Wave Theory (TWT), another quite widespread fault localization technique. The above study revealed the applicability of time series in oscillographic data of fault situations in transmission lines with errors lower than 1.25%.

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Transmission Line Fault Monitoring and Identification System by Using Internet of Things

Abstract: Abstract

Cited by 17 publications

References 12 publications

Performance Improvements of Separately Excited Dc Motor Using Fuzzy Logic Control

Performance Improvements of Separately Excited Dc Motor Using Fuzzy Logic Control

Remote Monitoring and Control of Boat Using Lora Technology

Fault Location in Power Transmission Lines using Autocorrelation Function

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