Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-97-2017
© 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-6-97-2017
© 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
| 
14 Feb 2017
Regular research article |
| 14 Feb 2017
Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice
Sascha Eichstädt
CORRESPONDING AUTHOR
Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
Clemens Elster
Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
Ian M. Smith
National Physical Laboratory, Teddington, UK
Trevor J. Esward
National Physical Laboratory, Teddington, UK
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A fundamental problem of machine learning (ML) is measurement uncertainty and the influence on ML results. Measurement uncertainty, which is critical in hazardous gas detection, is directly addressed in this paper. A previously published toolbox is extended for regression. One of the benefits of this approach is obtaining a better understanding of where the overall system should be improved. This can be achieved by either improving the trained ML model or using a sensor with higher precision.
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Synchronization problems within distributed sensor networks are a major challenge in the field of Industry 4.0. In this paper, artificially generated time shifts between sensor data and their influence on remaining useful lifetime prediction of electromechanical cylinders are investigated. It is shown that time shifts within sensor data lead to poor remaining useful lifetime predictions. However, this prediction can be significantly improved using various methods as shown in this contribution.
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A fundamental problem of machine learning (ML) is measurement uncertainty and the influence on ML results. Measurement uncertainty, which is critical in hazardous gas detection, is directly addressed in this paper. A previously published toolbox is extended for regression. One of the benefits of this approach is obtaining a better understanding of where the overall system should be improved. This can be achieved by either improving the trained ML model or using a sensor with higher precision.
Tanja Dorst, Yannick Robin, Sascha Eichstädt, Andreas Schütze, and Tizian Schneider
J. Sens. Sens. Syst., 10, 233–245, https://doi.org/10.5194/jsss-10-233-2021, https://doi.org/10.5194/jsss-10-233-2021, 2021
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Synchronization problems within distributed sensor networks are a major challenge in the field of Industry 4.0. In this paper, artificially generated time shifts between sensor data and their influence on remaining useful lifetime prediction of electromechanical cylinders are investigated. It is shown that time shifts within sensor data lead to poor remaining useful lifetime predictions. However, this prediction can be significantly improved using various methods as shown in this contribution.
Lara Hoffmann and Clemens Elster
J. Sens. Sens. Syst., 9, 301–307, https://doi.org/10.5194/jsss-9-301-2020, https://doi.org/10.5194/jsss-9-301-2020, 2020
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Deep learning has become a state-of-the-art method in machine learning, with a broad range of successful applications. Our goal is to explore the benefits of deep learning techniques for computational optical form measurements. The research is based on solving a nonlinear inverse problem aimed at the reconstruction of optical topographies from given processed interferograms. A U-Net network structure is chosen and tested on a simulated database. The obtained results are promising.
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Virtual experiments have become an indispensable tool for the design and the accuracy assessment of novel measurement procedures and instruments. In this paper, we present SimOptDevice, a library for opto-mechanical virtual experiments. We describe the mathematical tools used for solving the related numerical tasks and give examples of application scenarios.
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After an earthquake, many resources are spent to evaluate the level of damage suffered by buildings and infrastructure. To improve the efficiency and reduce the subjectivity of such assessments, a robotic total station (RTS) can be a useful support. This work aims evaluates the performance of a RTS for use in emergency conditions. Furthermore, the analysis of reduced configurations of the monitoring points highlights interesting aspects for defining a standardized, simplified procedure.
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In this work, a novel approach to deduce the release of the natural radioactive noble gas 222Rn from solid sources containing the isotope 226Ra is presented. Therein, supporting radioactivity measurements of the source are used in conjunction with a theoretical description of the dynamics. For radiation protection and environmental research, reliable and comparable 222Rn measurements, and therefore reference atmospheres of 222Rn, are needed. This work improves their realization.
Anke Fischer, Thomas M. Wendt, Lukas Stiglmeier, Philipp Gawron, and Kristof Van Laerhoven
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In this work, we investigated whether artificial feedback in the form of vibration has an effect on the accuracy and precision of eye tracking glasses. The results enabled the development of design proposals for vibrotactile feedback in gaze-based control systems for robotic arms.
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The dose rate and spectral distribution of X-ray emissions from laser materials processing have been determined using a thermoluminescence detector (TLD)-based spectrometer. The penetration depth of the radiation into the spectrometer depends on its energy, so that the energy-resolved spectrum of the radiation can be calculated from the TLD dose values by means of mathematical methods (Bayesian deconvolution). The measurements are traceable to the SI.
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The framework of the single point uncertainty presents a methodology to determine the local measurement uncertainty for a measurement setup. The targets of the investigation were spur (involute) steel gear wheels using a CMM in scanning mode in combination with a rotatory table, as well as a single scan of the complete gear profile without the use of a rotatory table, using the
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Andreas Michael Müller, Dominik Schubert, Dietmar Drummer, and Tino Hausotte
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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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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.
Marc Fischer, Marcus Petz, and Rainer Tutsch
J. Sens. Sens. Syst., 6, 145–153, https://doi.org/10.5194/jsss-6-145-2017, https://doi.org/10.5194/jsss-6-145-2017, 2017
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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.
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
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.
The challenges in the analysis of dynamic measurements significantly limit the use of existing...
Special issue