文章基本信息

标题：Heavy-duty truck battery failure prognostics using random survival forests
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作者：Sergii Voronov ; Sergii Voronov ; Daniel Jung 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：11
页码：562-569
DOI：10.1016/j.ifacol.2016.08.082
语种：English
出版社：Elsevier
摘要：Abstract Predicting lead-acid battery failure is important for heavy-duty trucks to avoid unplanned stops by the road. There are large amount of data from trucks in operation, however, data is not closely related to battery health which makes battery prognostic challenging. A new method for identifying important variables for battery failure prognosis using random survival forests is proposed. Important variables are identified and the results of the proposed method are compared to existing variable selection methods. This approach is applied to generate a prognosis model for lead-acid battery failure in trucks and the results are analyzed.
关键词：KeywordsBattery failure prognosisRandom survival forestsVariable selection