Imaging time series for the classification of EMI discharge sources

Imene Mitiche, Gordon Morison, Alan Nesbitt, Michael Hughes-Narborough, Brian G. Stewart, Philip Boreham

Research output: Contribution to journalArticle

Abstract

In this work, we aim to classify a wider range of Electromagnetic Interference (EMI) discharge sources collected from new power plant sites across multiple assets. This engenders a more complex and challenging classification task. The study involves an investigation and development of new and improved feature extraction and data dimension reduction algorithms based on image processing techniques. The approach is to exploit the Gramian Angular Field technique to map the measured EMI time signals to an image, from which the significant information is extracted while removing redundancy. The image of each discharge type contains a unique fingerprint. Two feature reduction methods called the Local Binary Pattern (LBP) and the Local Phase Quantisation (LPQ) are then used within the mapped images. This provides feature vectors that can be implemented into a Random Forest (RF) classifier. The performance of a previous and the two new proposed methods, on the new database set, is compared in terms of classification accuracy, precision, recall, and F-measure. Results show that the new methods have a higher performance than the previous one, where LBP features achieve the best outcome.
LanguageEnglish
Article number3098
Number of pages17
JournalSensors
Volume18
Issue number9
DOIs
Publication statusPublished - 14 Sep 2018

Fingerprint

electromagnetic interference
Electromagnetic Phenomena
Signal interference
Time series
Imaging techniques
Power Plants
Redundancy
Feature extraction
Power plants
Image processing
Classifiers
time signals
Dermatoglyphics
redundancy
power plants
classifiers
pattern recognition
image processing
Databases

Keywords

  • EMI method
  • EMI discharge sources
  • classification
  • gramian angular field
  • local binary patterns
  • local phase quantisation

Cite this

Mitiche, I., Morison, G., Nesbitt, A., Hughes-Narborough, M., Stewart, B. G., & Boreham, P. (2018). Imaging time series for the classification of EMI discharge sources. Sensors, 18(9), [3098]. https://doi.org/10.3390/s18093098
Mitiche, Imene ; Morison, Gordon ; Nesbitt, Alan ; Hughes-Narborough, Michael ; Stewart, Brian G. ; Boreham, Philip. / Imaging time series for the classification of EMI discharge sources. In: Sensors. 2018 ; Vol. 18, No. 9.
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Mitiche, I, Morison, G, Nesbitt, A, Hughes-Narborough, M, Stewart, BG & Boreham, P 2018, 'Imaging time series for the classification of EMI discharge sources' Sensors, vol. 18, no. 9, 3098. https://doi.org/10.3390/s18093098

Imaging time series for the classification of EMI discharge sources. / Mitiche, Imene; Morison, Gordon ; Nesbitt, Alan; Hughes-Narborough, Michael; Stewart, Brian G.; Boreham, Philip.

In: Sensors, Vol. 18, No. 9, 3098, 14.09.2018.

Research output: Contribution to journalArticle

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Mitiche I, Morison G, Nesbitt A, Hughes-Narborough M, Stewart BG, Boreham P. Imaging time series for the classification of EMI discharge sources. Sensors. 2018 Sep 14;18(9). 3098. https://doi.org/10.3390/s18093098