@inproceedings{53c7696d13a14f4a880f7e125206f414,
title = "Knowledge discovery for gearbox fault diagnosis using flow graph",
abstract = "It is difficult to discover gearbox diagnosis knowledge while diagnosis information is incomplete. To overcome this problem, a novel knowledge discovery method for gearbox fault diagnosis using flow graph (FG) is presented. In this method, FG is constructed in terms of incomplete fault decision table. The relationship among fault attributes can be represented in a graphical manner. Assignment reduction algorithm is used to remove irrelevant and redundant nodes. Therefore, FG after reduction is acquired according to the minimal reducts. To validate the performance of this method, a gearbox fault diagnosis experiment was performed. The experimental studies indicate the proposed method can be utilized to directly discover gearbox diagnosis knowledge from incomplete information in a graphical and intuitive manner.",
keywords = "Knowledge discovery, assignment reduction, fault diagnosis, flow graph, gearbox",
author = "Jun Yu and Wentao Huang and Xuezeng Zhao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th International Conference on Computer Science and Network Technology, ICCSNT 2016 ; Conference date: 10-12-2016 Through 11-12-2016",
year = "2017",
month = oct,
day = "16",
doi = "10.1109/ICCSNT.2016.8070147",
language = "英语",
series = "Proceedings of 2016 5th International Conference on Computer Science and Network Technology, ICCSNT 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "196--200",
booktitle = "Proceedings of 2016 5th International Conference on Computer Science and Network Technology, ICCSNT 2016",
address = "美国",
}