Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/jsss-6-145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular research article
| 
06 Apr 2017
Regular research article |
| 06 Apr 2017
Statistical characterization of evaluation strategies for fringe projection systems by means of a model-based noise prediction
Marc Fischer
CORRESPONDING AUTHOR
Institut für Produktionsmesstechnik, Technische Universität
Braunschweig, Braunschweig, Germany
Marcus Petz
Institut für Produktionsmesstechnik, Technische Universität
Braunschweig, Braunschweig, Germany
Rainer Tutsch
Institut für Produktionsmesstechnik, Technische Universität
Braunschweig, Braunschweig, Germany
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Deflectometric measurements of specular surfaces when performed with two reference planes lead to both data for surface points and surface normals. The deviations in the surface points are usually several orders of magnitude larger than those for the surface normals. In this paper we propose a method to fuse these data to increase the accuracy of the surface points. The results show that the accuracy can be increased by more than an order of magnitude.
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In order to further increase the performance of neural networks in the field of optical quality assurance of soldered joints, a hierarchical classifier can be used instead of a single network. The global expansion of the classifier enables the inspection task to be distributed over several subnetworks, which results in higher accuracy. Since the individual sub-models only concentrate on the identification of certain characteristics, categorical problems can be solved more effectively.
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Paula Weidinger, Gisa Foyer, Stefan Kock, Jonas Gnauert, and Rolf Kumme
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To determine the efficiency of multi-MW wind turbines, the torque measurement in wind turbine test benches has to be performed with a high accuracy. To this end, the torque measurement has to be traced to national standards. This can be done by using a novel torque transfer standard in combination with a newly developed torque calibration procedure under constant rotation. The calibration procedure was performed on a wind turbine test bench.
Mathias Ziebarth, Niclas Zeller, Michael Heizmann, and Franz Quint
J. Sens. Sens. Syst., 7, 517–533, https://doi.org/10.5194/jsss-7-517-2018, https://doi.org/10.5194/jsss-7-517-2018, 2018
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We propose a measurement uncertainty model of two complementary optical sensors: a deflectometric and a plenoptic sensor. The deflectometric sensor uses active triangulation and works best on specular surfaces, while the plenoptic sensor uses passive triangulation and works best on textured, diffusely reflecting surfaces. The predicted uncertainties can be used to obtain optimized measurements for varying surface properties. The models are validated exemplarily based on real measurements.
Andreas Schütze, Nikolai Helwig, and Tizian Schneider
J. Sens. Sens. Syst., 7, 359–371, https://doi.org/10.5194/jsss-7-359-2018, https://doi.org/10.5194/jsss-7-359-2018, 2018
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“Industrie 4.0” or the Industrial Internet of Things (IIoT) describe the current (r)evolution in industrial automation and control. This is fundamentally based on smart sensors, which generate data and allow further functionality from self-monitoring and self-configuration to condition monitoring of complex processes. The paper reviews the development of sensor technology over the last 2 centuries and highlights some of the potential that can be achieved with smart sensors and data analysis.
Enrico Mohns and Peter Räther
J. Sens. Sens. Syst., 7, 339–347, https://doi.org/10.5194/jsss-7-339-2018, https://doi.org/10.5194/jsss-7-339-2018, 2018
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Test centres supplying accuracy tests for instrument transformers must provide measurement uncertainties for their quality management. In this work, ratio error and phase displacement of instrument transformers are discussed. The traceability to the national standards of PTB, the attainable uncertainty and the permitted error limits of test equipment for testing instrument transformers are presented.
An example of an uncertainty budget for a current transformer of the class 0,2 S is given.
Silke Augustin, Thomas Fröhlich, Marc Schalles, and Stefan Krummeck
J. Sens. Sens. Syst., 7, 331–337, https://doi.org/10.5194/jsss-7-331-2018, https://doi.org/10.5194/jsss-7-331-2018, 2018
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In the data sheets of the thermometer manufacturers, different specifications can be found to describe the dynamic properties of contact thermometers. The present paper describes the results of a bilateral comparison made for the first time for determining dynamic parameters for two thermocouples in the laboratories of the JUMO GmbH & Co. KG Fulda company and at the Institute of Process Measurement and Sensor Technology of the TU Ilmenau with similar facilities, but different results.
Gunter Hagen, Antonia Harsch, and Ralf Moos
J. Sens. Sens. Syst., 7, 79–84, https://doi.org/10.5194/jsss-7-79-2018, https://doi.org/10.5194/jsss-7-79-2018, 2018
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Monitoring hydrocarbon concentrations in automotive exhausts is affected by flow rate changes. The signal of thermoelectric gas sensors is a thermovoltage. Its origin is a temperature difference that depends on the flow rate. To avoid this noise effect, the sensor can be installed in a defined bypass position. As shown by simulation and experiments, the gas flow around the sensor is almost turbulence-free and the signal only depends on the hydrocarbon concentration and not on the flow rate.
Sascha Eichstädt, Clemens Elster, Ian M. Smith, and Trevor J. Esward
J. Sens. Sens. Syst., 6, 97–105, https://doi.org/10.5194/jsss-6-97-2017, https://doi.org/10.5194/jsss-6-97-2017, 2017
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The challenges in the analysis of dynamic measurements significantly limit the use of existing calibration facilities and mathematical methodologies. Several international research projects have developed methodologies for the treatment of dynamic measurements at the NMI level. The transfer to industry, though, remains challenging. Therefore, this work provides a link from these activities to industrial end-users by means of the new versatile and comprehensive software package
PyDynamic.
M. P. Henry, M. S. Tombs, and F. B. Zhou
J. Sens. Sens. Syst., 3, 97–103, https://doi.org/10.5194/jsss-3-97-2014, https://doi.org/10.5194/jsss-3-97-2014, 2014
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Short summary
For optical measurement systems, camera noise is the dominant uncertainty factor when optically cooperative surfaces are measured in a stable environment. In this work it will be shown that the resulting spatial noise can be estimated by means of a noise model. The capability of this approach will be demonstrated for a fringe projection system. This provides a valuable tool for a statistical comparison of different evaluation strategies, which is shown for two different triangulation procedures.
For optical measurement systems, camera noise is the dominant uncertainty factor when optically...
Special issue