Pattern recognition of rigid hoist guides based on support vector machine

In order to evaluate the serviceable condition of rigid hoist guides and recognize their status patterns, vibration and angle signals were collected from an test-rig which can simulate different sorts of defects. Characteristic parameters by which status patterns can be judged were selected and desi...

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Bibliographic Details
Published inAdvances in mechanical engineering Vol. 10; no. 12
Main Authors Ma, Yansong, Yao, Jiannan, Ma, Chi, Xiao, Xingming
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.12.2018
Sage Publications Ltd
SAGE Publishing
Subjects
Classifiers
Computer simulation
Pattern recognition
Support vector machines
Hoisting system
supporting vector machine
rigid guides
Lipschitz index
wavelet transform modulus maxima
pattern recognition
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Summary:In order to evaluate the serviceable condition of rigid hoist guides and recognize their status patterns, vibration and angle signals were collected from an test-rig which can simulate different sorts of defects. Characteristic parameters by which status patterns can be judged were selected and designed. Multi-classifier based on support vector machine was applied during recognition. The collected samples were divided into two parts which were used as training data and testing data, respectively. The numerical result verified the validity of support vector machine multi-classifier on pattern recognition of rigid hoist guides.
ISSN:1687-8132
1687-8140
DOI:10.1177/1687814018812307