Early detection and classification of internal leakage in boom actuator of mobile hydraulic machines using SVM-Reference-Cited by-同舟云学术

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Early detection and classification of internal leakage in boom actuator of mobile hydraulic machines using SVM

Published:2021-11 Issue: Volume:106 Page:104492
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Jose Joseph T.^ORCID,Das J.,Mishra Santosh Kr.,Wrat Gyan

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference28 articles.

1. Leakage fault identification in a hydraulic positioning system using extended Kalman filter;An,2004

2. A review of feature selection methods on synthetic data;Bolón-Canedo;Knowl. Inf. Syst.,2013

3. Review on health indices extraction and trend modeling for remaining useful life estimation;Djeziri,2020

4. Feature extraction using PCA and kernel-PCA for face recognition;Ebied,2012

5. Fault diagnosis of a hydraulic power system using an artificial neural network;El-Betar;Eng. Sci.,2006

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