Design and evaluation of a hybrid system for detection and prediction of faults in electrical transformers

Al-Janabi, Samaher; Rawat, Sarvesh S. S.; Patel, Ahmed; Al-Shourbaji, Ibrahim

doi:10.1016/j.ijepes.2014.12.005

Cited by 88 publications

(13 citation statements)

References 11 publications

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“…The analysis of robust optimization under multi-band uncertainty is included in [24]. In addition, [25] proposes a hybrid system based on genetic neural computing (GNC). Because the GNC is a hot topic, it can be considered as a research issue of the HetNet system.…”

Section: Discussionmentioning

confidence: 99%

Adaptive CoMP with Spatial Phase Coding for Interference Mitigation in the Heterogeneous Network

Kim

Paek

et al. 2018

Applied Sciences

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This paper proposes an adaptive coordinated multi point (CoMP) scheme using pre-coding in order to improve the reliability of wireless communication systems based on orthogonal frequency division multiplexing (OFDM). In the conventional scheme, the received signal to noise ratio (SNR) of the mobile is degraded due to the interference signal. Therefore, the bit error rate (BER) performance is degraded, as is, the reliability of the system, due to inter-cell interference (ICI). Therefore, the BER performance of the system is reduced and the transmitter must perform unnecessary re-transmission. The proposed scheme uses the CoMP scheme to improve reliability in a heterogeneous network (HetNet) system. Additionally, the proposed scheme uses the constructive spatial phase coding (SPC) scheme to mitigate the received SNR reduction due to the interference signal. Therefore, the proposed scheme can prevent performance degradation caused by the interference signal. When a mobile is located in the cell edge, the transmission signal is distorted by the transmitted signal from the adjacent cell. The proposed scheme can reduce the SNR of the interference signal by using the destructive SPC scheme. Therefore, this scheme can improve the reliability of the system. The simulation results show that the BER performance of the proposed scheme is better than that of the conventional scheme. As a result, the proposed scheme improves the reliability of systems by adaptively applying the CoMP and SPC schemes.

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Section: Discussionmentioning

confidence: 99%

Adaptive CoMP with Spatial Phase Coding for Interference Mitigation in the Heterogeneous Network

Kim

Paek

et al. 2018

Applied Sciences

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“…From the analysis and interpretation of the data generated by the concentration of dissolved gases, Yang and Hu [97] propose a fault diagnosis system, which combines back-propagation NN and a multinomial logistic regression model. Al-Janabi et al [98] also propose a hybrid system to diagnose transformers. The proposal is based on genetic algorithms and neural networks; in general, it provides information to identify the exact fault in the transformer and its fault state.…”

Section: Hybrid Techniquesmentioning

confidence: 99%

Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review

et al. 2020

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Data mining is a technological and scientific field that, over the years, has been gaining more importance in many areas, attracting scientists, developers, and researchers around the world. The reason for this enthusiasm derives from the remarkable benefits of its usefulness, such as the exploitation of large databases and the use of the information extracted from them in an intelligent way through the analysis and discovery of knowledge. This document provides a review of the predictive data mining techniques used for the diagnosis and detection of faults in electric equipment, which constitutes the pillar of any industrialized country. Starting from the year 2000 to the present, a revision of the methods used in the tasks of classification and regression for the diagnosis of electric equipment is carried out. Current research on data mining techniques is also listed and discussed according to the results obtained by different authors.

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“…There are several electrical and chemical techniques for diagnostic available for monitoring of insulation condition of the power transformers (Abu-Elanien and Salama, 2010, Bengtsson, 1996, Fuhr, 2009, Saha et al, 1997, Tenbohlen et al, 2016, Van Bolhuis et al, 2002, However, a review of all these techniques in a single paper is rarely available (Abu-Elanien and Salama, 2010;Al-Janabi et al, 2015;Christina et al, 2018;Saha and Purkait, 2004;Sun et al, 2017a;. This paper reviews different types of technique for health monitoring of power transformer which are made up into six sections.…”

Section: *Powermentioning

confidence: 99%

A review on fault detection and condition monitoring of power transformer

Aslam¹

2019

Int. j. adv. appl. sci.

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Real-time monitoring of transformers ensures equipment safety and guarantees the necessary intervention in precise time thereby reducing the risk of non-schedule energy blackouts. Many utilities monitor the condition of the components that make up a power transformer and use this information to minimize interruption and prolong life. Currently, routine and diagnostic tests are used to monitor conditions and assess the aging and defects of the core, windings, bushings and power transformer tape changers. To accurately assess the remaining life and probability of failure, methods have been developed to correlate the results of different routine and diagnostic tests. There are several electrical and chemical (diagnostic) techniques available for condition monitoring of power transformer. This paper reviews real time techniques used for condition-based monitoring of power transformer.

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Design and evaluation of a hybrid system for detection and prediction of faults in electrical transformers

Cited by 88 publications

References 11 publications

Adaptive CoMP with Spatial Phase Coding for Interference Mitigation in the Heterogeneous Network

Adaptive CoMP with Spatial Phase Coding for Interference Mitigation in the Heterogeneous Network

Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review

A review on fault detection and condition monitoring of power transformer

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