Deep Sparse Autoencoder for Feature Extraction and Diagnosis of Locomotive Adhesion Status

The model is difficult to establish because the principle of the locomotive adhesion process is complex. This paper presents a data-driven adhesion status fault diagnosis method based on deep learning theory. The adhesion coefficient and creep speed of a locomotive constitute the characteristic vect...

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Bibliographic Details
Main Authors: Changfan Zhang, Xiang Cheng, Jianhua Liu, Jing He, Guangwei Liu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2018/8676387