Erratum to: Prognostics of Induction Motor Shaft Based on Feature Importance and Least Square Support Vector Machine Regression

Authors

  • D.D. Susilo Department of Mechanical Engineering, Faculty of Engineering, Universitas Sebelas Maret, Ir. Sutami Street, 36A, Surakarta, Indonesia. Phone: +62271632163; Fax: +62271632163
  • A. Widodo Department of Mechanical Engineering, Faculty of Engineering, Universitas Diponegoro, Prof Sudarto Street, Semarang, Indonesia
  • T. Prahasto Department of Mechanical Engineering, Faculty of Engineering, Universitas Diponegoro, Prof Sudarto Street, Semarang, Indonesia
  • M. Nizam Department of Electrical Engineering, Faculty of Engineering, Universitas Sebelas Maret, Ir. Sutami Street, 36A, Surakarta, Indonesia

DOI:

https://doi.org/10.15282/ijame.18.2.2021.12.0668

Keywords:

Induction motor shaft, feature importance, LSSVM regression, RUL estimation

Abstract

This is an erratum to International Journal of Automotive and Mechanical Engineering 2021; 18(1): 8464–8477. Please refer to the related article: https://doi.org/10.15282/ijame.18.1.2021.06.0641

Downloads

Published

2021-06-17

Issue

Section

Articles

How to Cite

[1]
“Erratum to: Prognostics of Induction Motor Shaft Based on Feature Importance and Least Square Support Vector Machine Regression”, Int. J. Automot. Mech. Eng., vol. 18, no. 2, p. 8751, Jun. 2021, doi: 10.15282/ijame.18.2.2021.12.0668.

Similar Articles

91-100 of 132

You may also start an advanced similarity search for this article.