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DOI: 10.14569/IJACSA.2021.0120467
PDF

Identification of Babbitt Damage and Excessive Clearance in Journal Bearings through an Intelligent Recognition Approach

Author 1: Joel Pino Gómez
Author 2: Fidel E. Hernández Montero
Author 3: Julio C. Gómez Mancilla
Author 4: Yenny Villuendas Rey

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 4, 2021.

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Abstract: Journal bearings play an important role on many rotating machines placed on industrial environments, especially in steam turbines of thermoelectric power plants. Babbitt damage (BD) and excessive clearance (C) are usual faults of steam turbine journal bearings. This paper is focused on achieving an effective identification of these faults through an intelligent recognition approach. The work was carried out through the processing of real data obtained from an industrial environment. In this work, a feature selection procedure was applied in order to choose the features more suitable to identify the faults. This feature selection procedure was performed through the computation of typical testors, which allows working with both quantitative and qualitative features. The classification tasks were carried out by using Nearest Neighbors, Voting Algorithm, Naïve Associative Classifier and Assisted Classification for Imbalance Data techniques. Several performance measures were computed and used in order to assess the classification effectiveness. The achieved results (e.g., six performance measures were above 0.998) showed the convenience of applying pattern recognition techniques to the automatic identification of BD and C.

Keywords: Journal bearing; babbitt damage; excessive clearance; fault identification; feature selection; supervised classification

Joel Pino Gómez, Fidel E. Hernández Montero, Julio C. Gómez Mancilla and Yenny Villuendas Rey, “Identification of Babbitt Damage and Excessive Clearance in Journal Bearings through an Intelligent Recognition Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 12(4), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120467

@article{Gómez2021,
title = {Identification of Babbitt Damage and Excessive Clearance in Journal Bearings through an Intelligent Recognition Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120467},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120467},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {4},
author = {Joel Pino Gómez and Fidel E. Hernández Montero and Julio C. Gómez Mancilla and Yenny Villuendas Rey}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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