Fault Detection Approaches to Power System: State-of-the-Art Article Reviews for Searching a New Approach in the Future

Bunnoon, Pituk

doi:10.11591/ijece.v3i4.3195

Cited by 24 publications

(11 citation statements)

References 65 publications

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“…There are a number of numerical values between the neurons that shows the strength of the connections known as the weights [23], [33]. The ANN is capable of self-organization and acquisition of information, i.e., learning [34].…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Rotating blade faults classification of a rotor-disk-blade system using artificial neural network

Mas’ud

Jamal

Adewusi

et al. 2021

IJPEDS

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In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade when the blades are defective. A rotor-disk-blade system with 6 regular blades and 5 blades with various defects was constructed. Second, the ANN was applied to classify the different x- and y-axis lateral vibrations due to different blade faults. The results based on training and testing with different data samples of the fault types indicate that the ANN is robust and can effectively identify and distinguish different blade faults caused by lateral vibrations in a rotor. As compared to the literature, the present paper presents a novel work of identifying and classifying various rotating blade faults commonly encountered in rotating machines using ANN. Experimental data of lateral vibrations of the rotor-disk-blade system in both x- and y-directions are used for the training and testing of the network.

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Section: Artificial Neural Networkmentioning

confidence: 99%

Rotating blade faults classification of a rotor-disk-blade system using artificial neural network

Mas’ud

Jamal

Adewusi

et al. 2021

IJPEDS

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“…Several fault detection approaches, such as wavelet transform, neural network and statistical techniques, have been presented in the literature [38]. Since the scope of this work is to avoid the total collapse of the system during "well known" critical contingencies, a deterministic way to detect the faults is proposed.…”

Section: Fault Detectormentioning

confidence: 99%

Active Splitting in Longitudinal Power Systems based on a WAMPC

et al. 2017

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This paper proposes an active splitting scheme especially suitable for longitudinal power systems (LPS). The proposed scheme is based on a modified out-of-step (OOS) algorithm combined with an angle difference method using synchrophasor measurements. The remedial actions are based on the detection of possible loss of synchronism due to severe disturbances. The scheme was tested on a detailed dynamic model of the Central Interconnected System of Chile, a good example of extreme LPS. Obtained results show that remedial actions taken by the proposed protection scheme are able to avoid the total collapse of the system during critical contingencies.

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“…But, it leads additional maintenance and care for the newly added supplementary power supply. It also leads to the power loss and money loss [6]. The supplementary power supply needs the additional power suppliers or generating plants that are infrequently turned on.…”

Section: Introductionmentioning

confidence: 99%

Improving Efficiency of Power Systems by Demand Side Management Method

Symon¹,

Ragland²

2017

IJECE

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In the smart grid infrastructure based power systems, it is necessary to consider the demand side management to enhance the energy reduction and system control. In many countries the resources are very less so the available resources have to be used in an efficient manner without any loss. The total loss cannot be avoided but it can be reduced. In the proposed system, the Particle Swarm Optimization (PSO) technique is used to distribute the power in the smart grid. Here, the grids are arranged in such a way that the losses in it are reduced. The load connected to the grid is rearranged according to their use. It uses a new and stochastic scheduling technique to handle the uncertainties in the power system. Solar and wind power are taken in account for twenty four hours and the values are given to the PSO algorithm. The experiment was conducted by MATLAB and the results show that the efficiency level of wind and solar power systems was increased by an appreciable level. The proposed technique is compared with the normal system without using Demand Side Management (DSM) and it shows that the proposed system gives better results than the existing systems.

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Fault Detection Approaches to Power System: State-of-the-Art Article Reviews for Searching a New Approach in the Future

Cited by 24 publications

References 65 publications

Rotating blade faults classification of a rotor-disk-blade system using artificial neural network

Rotating blade faults classification of a rotor-disk-blade system using artificial neural network

Active Splitting in Longitudinal Power Systems based on a WAMPC

Improving Efficiency of Power Systems by Demand Side Management Method

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