Technology of NC Machine Error Parameter Identification Based on BP Neural Network

Yao Ming Li; Xing Quan Shen

doi:10.4028/www.scientific.net/AMM.423-426.2399

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426Technology of NC Machine Error Parameter...

Technology of NC Machine Error Parameter Identification Based on BP Neural Network

Abstract:

NC machines touch-trigger probes generally have three-dimensional measuring function, its working principle is equivalent to a duplication of contacts with high precision switch, under the control of the measurement software, to achieve high-precision machining center automatically detected. Paper proposed based on BP neural network in NC machines tool probe measurement error parameter identification method. Through theoretical analysis and experimental research to determine the probe installation error parameters and the probe measurement error parameters of the model, but also identify ways to eliminate probe system error term uncertainty of the condition, in order to determine the detection method and planning of testing provides a reliable path basis.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2399-2403

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2399

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Online since:

September 2013

Authors:

Yao Ming Li*, Xing Quan Shen

Keywords:

BP Neural Network (BPNN), Identification, NC Machine

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