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Study of laser displacement measurement data abnormal correction algorithm

Zeguang Yi (Aviation College, Kunming University of Science and Technology, Kunming, P.R. China)
Nan Pan (Aviation College, Kunming University of Science and Technology, Kunming, P.R. China)
Yi Liu (Kunming SNLab Tech Co., Ltd., Kunming, P.R. China)
Yu Guo (Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, P.R. China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 6 March 2017

123

Abstract

Purpose

This paper aims to reduce and eliminate the abnormal peaks which, because of the reflection in the process of laser detection, make it easier to proceed with further analysis.

Design/methodology/approach

To solve the above problem, an abnormal data correction algorithm based on histogram, K-Means clustering and improved robust locally weighted scatter plot smoothing (LOWESS) is put forward. The proposed algorithm does section leveling for shear plant first and then applies histogram to define the abnormal fluctuation data between the neighboring points and utilizes a K-Means clustering to eliminate the abnormal data. After that, the improved robust LOWESS method, which is based on Euclidean distance, is used to remove the noise interference and finally obtain the waveform characteristics for next data processing.

Findings

The experiment result of liner tool mark laser test data correction demonstrates the accuracy and reliability of the proposed algorithm.

Originality/value

The study enables the following points: the detection signal automatic leveling; abnormal data identification and demarcation using K-Means clustering and histogram; and data smoothing using LOWESS.

Keywords

Acknowledgements

This article was supported by the key project of the Ministry of public security technology research program (approved grants 2014JSYJA020) and key project of Kunming science and technology plan (approved grants 2015-1-S-00284).

Citation

Yi, Z., Pan, N., Liu, Y. and Guo, Y. (2017), "Study of laser displacement measurement data abnormal correction algorithm", Engineering Computations, Vol. 34 No. 1, pp. 123-133. https://doi.org/10.1108/EC-10-2015-0325

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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