@inproceedings{75a20b15fa204ded83427747ae253d12,
title = "Prognostic analysis based on updated grey model for axial piston pump",
abstract = "Gradual degradation is the pivotal factor in prognostics analysis while the performance degradation is difficult to get with limit or blurry data. Based on the failure mechanism analysis of axial piston pump, the abrasion resulting from uneven contact between valve plate and cylinder barrel is the crux. With measured value, this paper presents a updated grey model and algorithm flow based on fix dimension updated technique and δ filter, in which the grey model overcomes the influence of uncertainty and disturbance and δ filter improves the quality of original data. Through renewing the information of grey model dynamically, the precision of prognostics increases greatly. Application indicates that the updated grey prediction algorithm could strengthen the scoring of new data and improve the prognostic accuracy with limit data.",
keywords = "Abrasion, Cylinder barrel, Failure predication, Performance degradation, Valve plate",
author = "Wenliang Hu and Shaoping Wang and Zhaomin He and Sijun Zhao",
year = "2010",
doi = "10.1109/ICIEA.2010.5517068",
language = "英语",
isbn = "9781424450466",
series = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
pages = "571--575",
booktitle = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
note = "5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 ; Conference date: 15-06-2010 Through 17-06-2010",
}