Publications
International Journal of Advanced Network, Monitoring and Controls
Xi'an Technological University
Subject: Computer Science, Software Engineering
eISSN: 2470-8038
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Research on Fault Diagnosis Technology of CNC Machine Tool Based on Machining Surface Roughness
Zhou Guang-wen / Mao Chun-yu / Tian Mei / Sun Yan-hong
Keywords : the spindle fault, roughness characteristics, CCD, ANFIS, machining
Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 3, Pages 98-102, DOI: https://doi.org/10.1109/iccnea.2017.66
License : (CC BY-NC-ND 4.0)
Published Online: 12-April-2018
- ARTICLE
- FIGURES & TABLES
- REFERENCES
- EXTRA FILES
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ARTICLE
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.
FIGURES & TABLES
REFERENCES
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