Reliability estimation using an integrated support vector regression – variable neighborhood search model

Yazdani, Maziar and Babagolzadeh, Mahla and Kazemitash, Navid and Saberi, Morteza (2019) Reliability estimation using an integrated support vector regression – variable neighborhood search model. Journal of Industrial Information Integration, 15. pp. 103-110. ISSN 2467-964X


Abstract

As failure and reliability predictions play a significant role in production systems they have caught the attention of researchers. In this study, Support Vector Regression (SVR), which is known as a powerful neural network method, is developed as a way of forecasting reliability. Generally, SVR is applied in many research environments, and the results illustrate that SVR is a successful method in solving non-linear regression problems. However, SVR parameters tuning is a vital task for performing an accurate reliability estimation. We propose variable neighborhood search (VNS) for continuous space, including some simple but efficient shaking and local search as its main operators, to tune the SVR parameters and create a novel SVR-VNS hybrid system to improve the reliability of estimation accuracy. The proposed method is validated with a benchmark from the former literature and compared with conventional techniques, namely RBF (Gaussian), AR (autoregressive), MLP (logistic), MLP (Gaussian), and SVMG (SVM with genetic algorithm). The experimental results indicate that the proposed model has a superior performance for prediction reliability than other techniques.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Commerce (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Commerce (1 July 2013 -)
Date Deposited: 28 Feb 2020 05:13
Last Modified: 13 Mar 2020 06:46
Uncontrolled Keywords: variable neighborhood search (VNS), support vector regression (SVR), reliability prediction, parameter tuning
Fields of Research : 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010303 Optimisation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
Identification Number or DOI: 10.1016/j.jii.2019.03.001
URI: http://eprints.usq.edu.au/id/eprint/38040

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