Abstract
Research on the dynamic performance test platform of high-grade numerical control equipment has guaranteed that numerical control machines run with reliable quality and machining, effectively predict the occurrence of equipment failure, save a lot in terms of cost of maintenance, and improve the level of management of equipment. It is significantly safe and reliable in the production of numerical control equipment and modern scientific maintenance and management. The purpose of this research is first, to provide test equipment work that shows the dynamic performance of high-grade numerical control machines, and second to provide the critical test technology to reveal the faults and factors that lead to the deterioration in accuracy of dynamic performance and development.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Xiaoli X, Chunmei Z, Jianmin Z (2009) Tend prediction method based on the largest lyapunov exponent for large rotating machine equipments. J Beijing Inst Technol 18(4):433–436
Xiao-li X, Tao C, Shaohong W (2009) Research on data-driven nonlinear fault prediction methods in multi-transform domains for electromechanical equipment. Proceeding of the fourth world congress on engineering asset management (WCEAM), vol 12(3). pp 38–45
Xiaoli X, Tao C (2009) ISOMAP algorithm-based feature extraction for electromechanical equipment fault prediction. In: Proceedings of the 2009 2nd international congress on image and signal processing, vol 9. IEEE, pp 4622–4625
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this paper
Cite this paper
Song, J., Li, M. (2013). Study on Numerical Control Machines Performance Test Platform. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 218. Springer, London. https://doi.org/10.1007/978-1-4471-4847-0_19
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4847-0_19
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4846-3
Online ISBN: 978-1-4471-4847-0
eBook Packages: EngineeringEngineering (R0)