Early Fault Detection based on Ball Bearing Vibration Analysis using Multinomial Logistic Regression-Reference-Cited by-同舟云学术

Early Fault Detection based on Ball Bearing Vibration Analysis using Multinomial Logistic Regression

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence - ISMSI '17
language:
Short-container-title:

Author:

Kerdsiri Thanadat¹,Gullayanon Rutchanee¹

Affiliation:

1. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

Publisher

ACM Press

Reference13 articles.

1. Lacey, S. J. 2008. An Overview of Bearing Vibration Analysis. Maintenance and Asset Management 23, 6 (Dec. 2008), 32--42.

2. Granet, B. P. and Starry, K. 2012. Rolling Element Bearing Analysis. Materials Evaluation 70, 1 (Jan. 2012), 78--85.

3. Kruger, W. 2009. Tracking rolling element bearing failures using mechanical and electrical vibration testing methods, ALL-TEST Pro, Connecticut, USA

4. Patidar, S. and Soni, P. K. 2013, An Overview on Vibration Analysis Techniques for the Diagnosis of Rolling Element Bearing Faults. International Journal of Engineering Trends and Technology(IJETT) 4, 5 (May 2013), 1804--1809.

5. Devendiran, S. and Manivannan, K. 2016, Vibration Based Condition Monitoring and Fault Diagnosis Technologies For Bearing and Gear Components-A Review. International Journal of Applied Engineering Research 11, 6 (2016), 3966--3975.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers;Machines;2023-12-27