Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

Rivera-Calle, Fredy; Minchala, Luis I.; Montesdeoca, Julio; Morales-García, Juan

doi:10.1109/esars.2015.7101420

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Considering the physical features of the objects and the possibilities of obtaining primary measurement information, the most common are specially developed low-frequency acoustic methods and their modifications [23][24][25]. Modern devices and diagnostic systems for CM mainly use deterministic models and corresponding methods for processing informative signals and making diagnostic decisions that do not provide the necessary noise immunity and reliability of diagnostic results and defect classification [26][27][28]. Thus, the urgent task is to increase the number of informative parameters having a high sensitivity to possible defects.…”

Section: Introductionmentioning

confidence: 99%

Using Hilbert Transform in Diagnostic of Composite Materials by Impedance Method

Eremenko

Zaporozhets

Babak

et al. 2020

Period. Polytech. Elec. Eng. Comp. Sci.

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The article is devoted to the problem of the increasing of information quality for the impedance method of nondestructive testing. The purpose of this article is to get for the pulsed impedance method of nondestructive testing the additional informative parameters. Instantaneous values of the information signal's amplitude is a sensitive parameter to the effects of interference, in particular friction, which necessitates the use of additional informative features. It was experimentally measured signals from defective and defectless areas of the test pattern. Using of the Hilbert transform gave possibility to determine phase characteristics of these signals and realize demodulation to extract a low-frequency envelope for further analysis of its shape. It was received the informative features as a result of researches. Among them are instantaneous frequency of a signal, the integral of a phase characteristic on the selected interval and the integral of a difference signal phase characteristics. In order to compare quality of the defect detection using selected parameters it was carried out evaluation of the testing result reliability for a product fragment made of a composite material. Considering the influence of the change in the mechanical impedance of the researched area on the phase-frequency characteristics of the output signal of the converter, it is proposed to use as the diagnostic signs: the instantaneous frequency and the value of the phase characteristic of the current signal for certain points in time. The proposed informative features enable to increase general reliability of composite materials testing by the pulsed impedance method.

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Section: Introductionmentioning

confidence: 99%

Using Hilbert Transform in Diagnostic of Composite Materials by Impedance Method

Eremenko

Zaporozhets

Babak

et al. 2020

Period. Polytech. Elec. Eng. Comp. Sci.

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show abstract

“…Another problem that exists is that in small grids, typically there is no automatic protection device along the feeder. In this area, several authors have performed different approaches for create an efficient monitoring system for the detection and location of the faults in electric power grid:  Based on the signal injection method to localize the fault point, using detectors along the feeder creating the fault information vector with injected signal and zero sequence current [2] [3];  Method to estimate an approximate state of the electrical grid (power flow) from measurements of voltage magnitude and phase angle at a small number of lines [4] [5];  To detect and locate failures, observing the behavioral of the three power lines phases over time, using tools as Hilbert transform and fuzzy classifier to successful detection [6];  Method to detect and classify faults in transmission line using ANN (Artificial neural networks), using as input samples of the current and voltage, the detector is constructed by four different ANN corresponding one of each phase and one for the earth [7];  Some failures are related with atmosphere conditions, so it is necessary to design environmental parameters monitoring device for transmission lines in real time [8] [9]. This work develops a system that assists in the detection of fault location with a high accuracy and can monitor faults in real time connecting through a telecommunications network, a system responsible for managing the electric power grid.…”

Section: Introductionmentioning

confidence: 99%

Faults Monitoring System in the Electric Power Grid with Scalability to Detect Natural/Environmental Catastrophes

Ferreira¹,

Barros²

2018

IJTEE

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In electric power to medium voltage one of the service quality factors is to ensure the continuous supply of electricity to the customer. This work aims to develop a fault monitoring system based only one variable, that is: the electric current. The purpose is to develop a flexible and scalable system to any electrical grid that can identify the cause and location of the failure in the medium voltage of electric power grid, contributing to improve the service quality of the grid. Also, the system can be easily adapted to monitor environmental parameters to generate alerts on natural catastrophes. The neutral system that is implemented (grounded, impedance grounded or ungrounded) is an important factor, in this work is evaluated the ungrounded system. In this paper three different algorithms have been developed: System A, system B and C. System A monitors the nominal value of electric current in each line of the electric power grid, system B monitors the value of electric power in each transformer station and system C compares the current at the begin and end of each line of the grid, checking if there is any discrepancy between them. All algorithms were tested in simulation mode and the most flexible, system C, was implemented in laboratorial prototype. It has been verified that for the monitoring system evaluation it is necessary to analyze the following parameters: real-time fault detection and location, monitoring before the distribution line protections act and the ability to adapt according to changes in the electric power grid, improving the service quality.

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Faults Monitoring System in the Electric Power Grid of Medium Voltage

Ferreira

Barros

2018

Procedia Computer Science

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Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

Cited by 4 publications

References 3 publications

Using Hilbert Transform in Diagnostic of Composite Materials by Impedance Method

Using Hilbert Transform in Diagnostic of Composite Materials by Impedance Method

Faults Monitoring System in the Electric Power Grid with Scalability to Detect Natural/Environmental Catastrophes

Faults Monitoring System in the Electric Power Grid of Medium Voltage

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