An Evaluation of Alternative Techniques for Monitoring Insulator Pollution

Bezerra, J.M. de Barros; Lima, A.M.N.; Deep, G.S.; Costa, Edson G. da

doi:10.1109/tpwrd.2009.2016628

Cited by 26 publications

(13 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concurrently, the online measurements of LCVS, from the insulator, are required to be fed to the MNN which is trained to recognize the contamination type using LCVs. However, online translation of surface leakage current measurements of insulators is still open to research [39,40]. Therefore, in the present work, pre-measured LCVs (experimental measurements, 18 × 5 = 90) were used and encoded with the MNN.…”

Section: A Proposed Fcn Architecturementioning

confidence: 99%

Multi-Modal Data Fusion Using Deep Neural Network for Condition Monitoring of High Voltage Insulator

et al. 2020

View full text Add to dashboard Cite

A novel Fusion Convolutional Network (FCN) is proposed in this research for potential realtime monitoring of insulators using unmanned aerial vehicle (UAV) edge devices. Precise airborne imaging of outdoor objects, such as high voltage insulators, suffers from varied object resolution, cluttered backgrounds, unclear or contaminated surfaces, and illumination conditions. Accurate information about the insulator surface condition is essential and is of a high priority since insulator breakdown is a leading cause of electrical failure. A multi-modal information fusion (MMIF) system is developed during this research to analyze and classify possible contaminations present on the electrical insulators. A novel system, referred to as FCN, consists of a Convolutional Neural Network (CNN) and a binary Multilayer Neural Network (MNN) sub-classifier. While constructing the MMIF dataset for training and testing the novel FCN, the image classification output of the CNN is combined with the leakage current values (LCV) obtained as the classification output of MNN. Each sample of the MMIF dataset is, therefore, represented as a series of fusions. Later, sub-classifiers, of the FCN, are trained to identify the contamination types in the fusion series by implementing a voting system of sub-classifiers which is trained to identify a given class. As a result of the implementation of the proposed FCN, the classification accuracy increased by 8.4%, i.e., from 92% to 99.76%. To compare and benchmark the performance of proposed FCN, conventional classification algorithms are also implemented on the fusion of features that are extracted employing the wavelet transform and PCA methods. State-of-the-art CNN architectures are also discussed on account of their time consumption and memory usage. The conceptualization of a potential hardware implementation of the proposed FCN, on emerging edge devices, is also provided for completeness of the discussion. Pertinent outcomes of this research can be further extended to other potential applications of airborne imaging. INDEX TERMS Convolutional Neural Network, multi-modal information fusion, electrical insulators, unmanned aerial vehicle.

show abstract

Section: A Proposed Fcn Architecturementioning

confidence: 99%

Multi-Modal Data Fusion Using Deep Neural Network for Condition Monitoring of High Voltage Insulator

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The protection circuit is an electronic device, specially constructed to insulate the acquisition system from a high-voltage circuit by optical coupling. The VHF antenna is sensitive to signals between 20 and 100 MHz and is coupled to the computer by the spectrum analyzer; the spectrum is constructed and saved in the computer [3]. Two mathematical tools take on important roles .in the digital processing of signals such as the Fourier transform and the wavelet transform.…”

Section: B Pattern Recognitiationmentioning

confidence: 99%

“…Wavelets tend to be irregular and asymmetric. Fourier analysis consists of breaking up a signal into sine waves of various frequencies [3]. Similarly, wavelet analysis is the breaking up of a signal into shifted and scaled versions of the original (or mother) wavelet.…”

Section: B Pattern Recognitiationmentioning

confidence: 99%

“…The network can be trained by function approximation (nonlinear regression), pattern association, or pattern classification, and requires a set of examples that represent the expected behaviour of a proper network. [3].…”

Section: B Pattern Recognitiationmentioning

confidence: 99%

“…The concentrating the electric field, leading to the creation of partial discharges (PDs) can increase its rate and intensity until a complete discharge from line to ground, known as flashover [2]. Failures in the transmission lines are mainly due to the flashovers [1]- [3]. It is necessary to develop the measurement system which capable of monitoring and characterizing the main features of the leakage current flowing on a polluted insulator string of a high-voltage transmission line [1]- [10].…”

Section: Iintroductionmentioning

confidence: 99%

See 2 more Smart Citations

An Evaluation of Techniques for monitoring the High Voltage Insulator Pollution

Kadam¹,

Patil²,

Patil³

et al. 2015

IJERT

View full text Add to dashboard Cite

Leakage current monitoring associated with the method for measuring the pollution levels on High Voltage insulator of overhead transmission line. This paper describes the various pollution monitoring techniques of High Voltage insulator such as frequency characterization, patternrecognition, optical detection of partial discharge, sensor system with satellite communication link etc. By using the combinations of sensors, processing techniques & electronics set up, the characteristics of the leakage current can be evaluated. Frequency characterization investigated with artificial contamination tests & field tests. Pattern recognition technique classifies the state of insulation structure in online application. The system comprises a fiber-optic sensor, directly connected to one insulator of the string that emits a sample of the leakage current waveform to a processing module via an optical link. Satellite based monitoring along with the Important results were achieved during the field implantation, mainly related to system design & features that need to be applied during the building of tower with transmission line of High Voltage. Experimental activities & field system records the relevant status of pollution level.

show abstract