Health state classification of a spherical tank using a hybrid bag of features and k-nearest neighbor.

Hasan, Md Junayed; Kim, Jaeyoung; Kim, Jong Myon

Abstract

Feature analysis plays an important role in determining the various health conditions of mechanical vessels. To achieve balance between traditional feature extraction and the automated feature selection process, a hybrid bag of features (HBoF) is designed for the health state classification of spherical tanks in this paper. The proposed HBoF is composed of (a) the acoustic emission (AE) features, and (b) the time and frequency based statistical features. A wrapper-based feature selector algorithm, Boruta, is applied to extract the most intrinsic feature set from HBoF. The selective feature matrix is passed to the k-nearest neighbor (k-NN) classifier to distinguish between normal condition (NC) and faulty condition (FC). Experimental results show that the proposed approach yields an average 100% accuracy for all working conditions. The proposed method outperforms the existing state-of-the-art approaches by achieving at least 19% higher classification accuracy.

Citation

HASAN, M.J., KIM, J. and KIM, J.-M. 2021. Health state classification of a spherical tank using a hybrid bag of features and k-nearest neighbor. In Park, J.J., Fong, S.J., Pan, Y. and Sung, Y. (eds.) Advances in computer science and ubiquitous computing: proceedings of the 11th International conference on computer science and its applications (CSA 2019), and the 14th KIPS international conference on ubiquitous information technologies and applications (CUTE) 2019) (CSA-CUTE 2019), 18-20 December 2019, Macau, China. Lecture notes in electrical engineering, 715. Singapore: Springer [online], pages 235-241. Available from: https://doi.org/10.1007/978-981-15-9343-7_32

• Conference Name: 11th International conference on computer science and its applications (CSA 2019), and the 14th KIPS international conference on ubiquitous information technologies and applications (CUTE) 2019) (CSA-CUTE 2019)
• Conference Location: Macau, China
• Start Date: Dec 18, 2019
• End Date: Dec 20, 2019
• Acceptance Date: Apr 2, 2020
• Online Publication Date: Jan 5, 2021
• Publication Date: Dec 31, 2021
• Deposit Date: Oct 26, 2023
• Publicly Available Date: Jul 18, 2024
• Publisher: Springer
• Pages: 235-241
• Series Title: Lecture notes in electrical engineering
• Series Number: 715
• Series ISSN: 1876-1100; 1876-1119
• Book Title: Advances in computer science and ubiquitous computing: proceedings of the CSA (Computer Science and its Application) International conference on ubiquitous information technologies and applications 2019 (CSA-CUTE 2019)
• ISBN: 9789811593420
• DOI: https://doi.org/10.1007/978-981-15-9343-7_32
• Keywords: Spherical tank; AE features; Boruta; Fault diagnosis
• Public URL: https://rgu-repository.worktribe.com/output/2061155