Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis

Wheel tread wear is an important parameter to evaluate the operational safety of locomotives, yet timely and accurate monitoring is often lacking at wheel operation and maintenance sites. To this end, this paper proposed a prediction algorithm of tread wear for locomotive wheels based on GA-ridge re...

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Bibliografische gegevens

Hoofdauteurs:	FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier
Formaat:	Artigo
Taal:	Chinês
Gepubliceerd in:	Editorial Department of Electric Drive for Locomotives 2023-11-01
Reeks:	机车电传动
Onderwerpen:	locomotive wheels wheel tread wear prediction principal component analysis ridge regression genetic algorithm
Online toegang:	http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2023.06.009
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