Detection of abnormal data during dynamic measurement of discontinuous surfaces

Hao Meng; Lianqing Zhu; Qingshan Chen

doi:10.1117/12.885810

28 December 2010 Detection of abnormal data during dynamic measurement of discontinuous surfaces

Hao Meng, Lianqing Zhu, Qingshan Chen

Proceedings Volume 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation; 75440A (2010) https://doi.org/10.1117/12.885810
Event: Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 2010, Hangzhou, China

Abstract

In order to effectively detect and remove abnormal data during dynamic measurement of discontinuous surfaces, this paper presents an effective method based on the dynamic GM(1,1). The dynamic GM(1,1) is used to implement modeling for the primary measurement data. The model based on the dynamic GM(1,1) can be a good approximation to normal data, while insensitive to abnormal data. Through comparing the model with the primary measurement data, abnormal data can be effectively detected according to a certain criterion. An experiment is carried out to verify the proposed method for detecting and removing abnormal data. A gross error is artificially introduced into the mesh errors of a hob at the ninth cutting. For the ninth cutting edge, the residual error between the mesh error and the modeling value is 3.2077 and greater than 2.5S. The mesh error of the ninth cutting edge is abnormal and replaced by the corresponding modeling value. The experimental result shows that the proposed method can effectively detect and remove abnormal data during dynamic measurement of discontinuous surfaces.

Citation Download Citation

Hao Meng, Lianqing Zhu, and Qingshan Chen "Detection of abnormal data during dynamic measurement of discontinuous surfaces", Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75440A (28 December 2010); https://doi.org/10.1117/12.885810

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