Research on Fault Diagnosis Technology of CNC Machine Tool Based on Machining Surface Roughness

DOI

10.2991/meici-17.2017.65How to use a DOI?

Keywords

The spindle fault; Roughness characteristics; CCD; ANFIS; Machining

Abstract

This paper studied the relationship between the spindle fault and the roughness characteristics, by surface roughness of machining. Spindle common fault is divided into the spindle system is not balanced, the spindle system is not right, the spindle system has a transverse crack and the spindle system rolling bearing failure. The characteristic amount of the machining surface is extracted by CCD laser speckle surface roughness measurement technique. Machine fault information and rough surface relationship were established through the adaptive network-based fuzzy inference system (ANFIS), to achieve the machine tool spindle fault diagnosis. The results indicate that the roughness characteristic can accurately diagnose the machine tool spindle fault and can be an effective method to study the spindle fault of the machine tool.

Copyright

© 2017, 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  - Guangwen Zhou
AU  - Chunyu Mao
AU  - Mei Tian
AU  - Yanhong Sun
PY  - 2017/10
DA  - 2017/10
TI  - Research on Fault Diagnosis Technology of CNC Machine Tool Based on Machining Surface Roughness
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 330
EP  - 337
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.65
DO  - 10.2991/meici-17.2017.65
ID  - Zhou2017/10
ER  -