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- Title
基于机器学习的道岔故障诊断与预测 研究综述.
- Authors
谢博才; 宫殿君
- Abstract
Machine learning has many theoretical researches and applications in turnout fault detection and diagnosis technology because of its advantages such as adaptive processing of large amounts of data, realization of intelligent classification and prediction. This paper classifies and sorts out data-based turnout fault diagnosis algorithms, and focuses on the feature extraction and data-based modeling methods, which have certain guiding significance for the selection and application of machine learning algorithms. Finally, by analyzing the current research status of turnouts in prognostics and health management, the application of machine learning in the field of turnout fault prognostics and health management is prospected.
- Publication
Railway Signalling & Communication Engineering, 2021, Vol 18, Issue 8, p93
- ISSN
1673-4440
- Publication type
Article
- DOI
10.3969/j.issn.1673-4440.2021.08.021