Detection of Simultaneous Bearing Faults Fusing Cross Correlation With Multikernel SVM-Reference-Cited by-同舟云学术

Detection of Simultaneous Bearing Faults Fusing Cross Correlation With Multikernel SVM

Published:2023-07-01 Issue:13 Volume:23 Page:14418-14427
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Biswas Anadi¹^ORCID,Ray Susanta¹^ORCID,Dey Debangshu¹^ORCID,Munshi Sugata¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Jadavpur University, Kolkata, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10129221.pdf?arnumber=10129221

Reference33 articles.

1. Identification of bearing faults using statistical time domain features and fused time-domain descriptor features;nayana;J Adv Res Dyn Control Syst,2018

2. Detection and classification of bearing faults in industrial geared motors using temporal features and adaptive neuro-fuzzy inference system

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4. Autocorrelation Aided Random Forest Classifier-Based Bearing Fault Detection Framework

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