Application of transient acoustic signal and rough sets in compound-fault diagnosis of bearing

DOI

10.2991/imst-16.2016.38How to use a DOI?

Keywords

transient acoustic, rough set theory, condition attribute reduction, max-min ant system, the worst fisher criterion.

Abstract

Real vehicle tests for equipment cannot get steady signal, and the traditional vibration test method cannot realize noncontact, without disassembly and spoil the disadvantages of the on-line detection, using the transient acoustic signal is proposed for bearing fault diagnosis. Rough set theory is a new mathematical tool to deal with vagueness and uncertainty knowledge, attribute reduction is an important part of the study of rough sets theory, and calculates the best reduction is a NP hard problem. In order to be able to effectively obtain information system of the reduction, a new reduction algorithm is proposed. The algorithm with the worst Fisher criterion function as heuristic information to improve the efficiency of search, the Max-min ant system (MMAS) conditional attribute reduction, the use of rough set theory to fault diagnosis decision table reduction, form a clear, concise fault diagnosis rules, effectively improve the bearing fault diagnosis accuracy and efficiency.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiying Kang
AU  - Guangsheng Liu
AU  - Yaoxin He
AU  - Zhibin Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Application of transient acoustic signal and rough sets in compound-fault diagnosis of bearing
BT  - Proceedings of the 2016 International Conference on Innovative Material Science and Technology (IMST 2016)
PB  - Atlantis Press
SP  - 258
EP  - 264
SN  - 1951-6851
UR  - https://doi.org/10.2991/imst-16.2016.38
DO  - 10.2991/imst-16.2016.38
ID  - Kang2016/11
ER  -