Erratum: Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults

Mohd Atif Jamil1 , Md Asif Ali Khan2 , Sidra Khanam3

1, 2, 3Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, India

1Corresponding author

Vibroengineering PROCEDIA, Vol. 40, 2022, p. 139-139. https://doi.org/10.21595/vp.2021.22353
Received 22 December 2021; accepted 22 December 2021; published 23 December 2021

54th International Conference on Vibroengineering, Shanghai, China, February 5, 2022

Copyright © 2021 Mohd Atif Jamil, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons License
Back to Original Publication.
Vibroengineering PROCEDIA
Table of Contents Download PDF
Cite this article
Views 19
Reads 2
Downloads 384
CrossRef Citations 0

Our Conferences

62nd Conference in Almaty, Kazakhstan
February 10-11, 2023 in Almaty, Kazakhstan
63rd Conference in Shanghai, China
May 18, 2023 in Shanghai, China
64th Conference in Istanbul, Turkey
September 29, 2023 in Istanbul, Turkey
65th Conference in Resita, Romania
October 20-21, 2023 in Resita, Romania
www.jveconferences.com

The description of the correction

Fig. 2 demonstrated KNN algorithm incorrectly in the original article approved (after the acceptance) by the authors.

The incorrect figure:

Fig. 2. A demonstration of KNN algorithm

A demonstration of KNN algorithm

The revised figure is as follows:

Fig. 2. A demonstration of KNN algorithm

A demonstration of KNN algorithm
JVE Journals is rebranding to Extrica

Inspired by innovations from the previous century and the rapid growth during the last years, we are improving for excellence in your publishing experience

Read to know more
JVE Journals
Extrica