Paper
15 November 2011 Singular spectrum and singular entropy used in signal processing of NC table
Linhong Wang, Yiwen He
Author Affiliations +
Proceedings Volume 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation; 83211H (2011) https://doi.org/10.1117/12.904370
Event: Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 2011, Yunnan, China
Abstract
NC (numerical control) table is a complex dynamic system. The dynamic characteristics caused by backlash, friction and elastic deformation among each component are so complex that they have become the bottleneck of enhancing the positioning accuracy, tracking accuracy and dynamic behavior of NC table. This paper collects vibration acceleration signals from NC table, analyzes the signals with SVD (singular value decomposition) method, acquires the singular spectrum and calculates the singular entropy of the signals. The signal characteristics and their regulations of NC table are revealed via the characteristic quantities such as singular spectrum, singular entropy etc. The steep degrees of singular spectrums can be used to discriminate complex degrees of signals. The results show that the signals in direction of driving axes are the simplest and the signals in perpendicular direction are the most complex. The singular entropy values can be used to study the indetermination of signals. The results show that the signals of NC table are not simple signal nor white noise, the entropy values in direction of driving axe are lower, the entropy values increase along with the increment of driving speed and the entropy values at the abnormal working conditions such as resonance or creeping etc decrease obviously.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linhong Wang and Yiwen He "Singular spectrum and singular entropy used in signal processing of NC table", Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83211H (15 November 2011); https://doi.org/10.1117/12.904370
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KEYWORDS
Signal processing

Interference (communication)

Signal to noise ratio

Dynamical systems

Signal analyzers

Complex systems

Control systems

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