Accuracy assessment of a laser triangulation sensor

Murakami, Fumio

doi:10.1109/imtc.1994.351883

Cited by 13 publications

(11 citation statements)

References 4 publications

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“…Deviations in the target surface roughness, reflectivity, fluctuations in temperature and sensor mounting (tilt) may increase the error, but never above 0.08% of FSO. Similar accuracy assessments for different target surfaces have be found in literature for a triangulation sensor with a PSD detector [80].…”

Section: Uncertainty and Error Estimationsupporting

confidence: 80%

A Set-Up of 7 Laser Triangulation Sensors and a Draw-Wire Sensor for Measuring Relative Displacement of a Piston Rod Mechanical Lead-Through Transmission in an Offshore Wave Energy Converter on the Ocean Floor

Strömstedt

Svensson

Leijon

2012

ISRN Renewable Energy

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A concept for offshore wave energy conversion is being developed at the Swedish Centre for Renewable Electric Energy Conversion at Uppsala University in Sweden. The wave energy converter (WEC) in focus contains a piston rod mechanical lead-through transmission for transmitting the absorbed mechanical wave energy through the generator capsule wall while preventing seawater from entering the capsule. A set-up of 7 laser triangulation sensors has been installed inside the WEC to measure relative displacement of the piston rod and its corresponding seal housing. A draw-wire sensor has also been set up to measure translator position and the axial displacement of the piston rod. The paper gives a brief introduction to the Lysekil research site, the WEC concept, and the direct drive of WEC prototype L2. A model of operation for the piston rod mechanical lead-through transmission is given. The paper presents sensor choice, configuration, adaptation, mounting, and measurement system calibration along with a description of the data acquisition system. Results from 60 s measurements of nominal operation two months apart with centered moving averages are presented. Uncertainty and error estimations with statistical analyses and signal-to-noise ratios are presented. Conclusions are drawn on the relative motions of the piston rod and the seal housing under normal operating conditions, and an assessment of the applicability of the measurement system is made.

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Section: Uncertainty and Error Estimationsupporting

confidence: 80%

A Set-Up of 7 Laser Triangulation Sensors and a Draw-Wire Sensor for Measuring Relative Displacement of a Piston Rod Mechanical Lead-Through Transmission in an Offshore Wave Energy Converter on the Ocean Floor

Strömstedt

Svensson

Leijon

2012

ISRN Renewable Energy

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“…Understanding of different sources of measurement uncertainty is required [3]. Possible sources of uncertainty include sensor geometry [4], laser beam dimension [5], and beam scattering [6]. The fundamental source of measuring uncertainty is speckle noise which arises because of interference of scattered wave fronts from a microscopically rough surface [7].…”

Section: Introductionmentioning

confidence: 99%

Dynamic symmetrical pattern projection based laser triangulation sensor for precise surface position measurement of various material types

et al. 2013

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This paper describes a custom, material-type-independent laser-triangulation-based measurement system that utilizes a high-quality ultraviolet laser beam. Laser structuring applications demand material surface alignment regarding the laser focus position, where fabrication conditions are optimal. Robust alignment of various material types was solved by introducing dynamic symmetrical pattern projection, and a "double curve fitting" centroid detection algorithm with subsurface scattering compensation. Experimental results have shown that the measurement system proves robust to laser intensity variation, with measurement bias lower than 50 μm and standard deviation lower than ±6.3 μm for all materials. The developed probe has been integrated into a PCB prototyping system for material referencing purposes.

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“…[3] The primary goal of this study was to develop a simple calibration method for the thickness measurement of planar objects. The calibration procedure is carried out without commonly used interferometer distance calibration [7]. No complex algorithms for calibration or correction coefficients are needed either.…”

Section: Introductionmentioning

confidence: 99%

A calibration method of triangulation sensors for thickness measurement

Hattuniemi

Mäkynen

2009

2009 IEEE Intrumentation and Measurement Technology Conference

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In this study, an experimental setup for a noncontacting high speed thickness measurement of planar objects is constructed. A simple calibration procedure is introduced and performance of the measurement setup is characterized. The setup includes two industrial cameras and two stripe lasers installed on opposite sides of the planar object. For a demonstration and characterization of the system, a diffuse reflecting aluminum coated metal plate was measured. The results show that the calibration method depicted can be utilized for various materials in thickness measurement systems based on laser triangulation.

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Accuracy assessment of a laser triangulation sensor

Abstract: Accuracy of a laser triangulation sensor have been studied.The experiments showed that the accuracy was dependent on the scattering characteristics of the targets. For the quasi Lambertian surfaces, nonlinearity error was less than 0.1% of the measurement range.

Cited by 13 publications

References 4 publications

A Set-Up of 7 Laser Triangulation Sensors and a Draw-Wire Sensor for Measuring Relative Displacement of a Piston Rod Mechanical Lead-Through Transmission in an Offshore Wave Energy Converter on the Ocean Floor

A Set-Up of 7 Laser Triangulation Sensors and a Draw-Wire Sensor for Measuring Relative Displacement of a Piston Rod Mechanical Lead-Through Transmission in an Offshore Wave Energy Converter on the Ocean Floor

Dynamic symmetrical pattern projection based laser triangulation sensor for precise surface position measurement of various material types

A calibration method of triangulation sensors for thickness measurement

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