@inproceedings{EstevezRebelGonzalezetal.2013, author = {Estevez, F. and Rebel, G. and Gonz{\´a}lez, J. and Palomares, J.M. and Gl{\"o}sek{\"o}tter, P.}, title = {Body energy harvesting for WSN. State of art and examples}, series = {Proceedings JCE 09/2013}, booktitle = {Proceedings JCE 09/2013}, publisher = {JCE}, doi = {10.25974/fhms-707}, year = {2013}, abstract = {Body energy harvesting for WSN. State of art and examples}, language = {en} } @inproceedings{Gloesekoetter2019, author = {Gl{\"o}sek{\"o}tter, Peter}, title = {Hochintegrierte Mikro- und Nanosystem}, series = {Workshop Nanotechnologie-Verbund NRW e.V.}, booktitle = {Workshop Nanotechnologie-Verbund NRW e.V.}, year = {2019}, abstract = {Die Beitr{\"a}ge, der Konferenz: • Nanotechnologie -Von Wunder-Materialien und solchen die es werden wollen • Mikrotechnik -to improve the qualityof live • Quantum Sensing for Industrial Applications • Geordnete Defekte in Graphit: Ein Fahrplan in Richtung Raumtemperatur Supraleitung • Funktionale mikro-und nanostrukturierte Folien als Bestandteil hochintegrierter Systeme}, language = {de} } @inproceedings{GomezZuluagaOrdikhaniBaueretal.2021, author = {G{\´o}mez Zuluaga, Mauricio Andr{\´e}s and Ordikhani, Ahmad and Bauer, Christoph and Gl{\"o}sek{\"o}tter, Peter}, title = {Development and implementation of a neural network-based abnormal state prediction system for a piston pump}, series = {IWANN2021}, booktitle = {IWANN2021}, publisher = {Springer Nature Switzerland AG 2021}, isbn = {978-3-030-85029-6}, doi = {10.1007/978-3-030-85030-2_24}, year = {2021}, abstract = {Piston pumps play a key role in factory automation and their availability is very critical for the smooth running of production processes. Modern installations, such as production plants and machines, are becoming increasingly complex. Therefore, the probability of a complete system failure due to a single critical component also increases. Maintenance processes with intelligent devices are therefore very important to achieve maximum economic efficiency and safety. Periodic or continuous monitoring of system components provides key information about the current physical state of the system, enabling early detection of emerging failures. Knowledge of future failures makes it possible to move from the concept of preventive maintenance to intelligent predictive maintenance. In this way, consequential damage and complete system failure can be avoided, maximizing system availability and safety. This paper reflects the development and implementation of a neural network system for abnormal state prediction of piston pumps. After a short introduction into piston pumps and their potential abnormal states, statistical and periodical analysis are presented. Then the design and implementation of suitable neural networks are discussed. Finally, a conclusion is drawn and the observed accuracies as well as potential next steps are discussed.}, language = {de} } @inproceedings{HellerHorsthemkeGebingetal.2019, author = {Heller, Andreas and Horsthemke, Ludwig and Gebing, Marcel and Kappen, G{\"o}tz and Gl{\"o}sek{\"o}tter, Peter}, title = {GNSS based Automatic Anchor Positioning in Real Time Localization Systems}, series = {Proceedings ITISE-2019. Granada, 25th-27th September 2019}, booktitle = {Proceedings ITISE-2019. Granada, 25th-27th September 2019}, address = {Granada (Spain)}, isbn = {978-84-17970-78-9}, pages = {1068 -- 1073}, year = {2019}, abstract = {This work describes the setup of an ultrawideband (UWB) realtime localization system (RTLS) in which the determination of anchor coordinates is automated by assistance of global navigation satellite systems (GNSS).}, language = {de} } @inproceedings{HellerHorsthemkeGloesekoetter2019, author = {Heller, Andreas and Horsthemke, Ludwig and Gl{\"o}sek{\"o}tter, Peter}, title = {Design, Implementation, and Evaluation of a Real Time Localization System for the Optimization of Agitation Processes}, series = {IESS, Friedrichshafen}, booktitle = {IESS, Friedrichshafen}, year = {2019}, abstract = {This work describes the setup of an ultrawideband (UWB) realtime localization system (RTLS) for tracking of particles.We describe how the RTLS obtains distances and positions through radio waves and the setup and evaluation of a real world system is stated in detail. In the proposed system the particles track a subtrates surface ow inside a biogas plant for veri� cation of agitation processes.}, language = {de} } @inproceedings{HorsthemkeBischoffGloesekoetteretal.2020, author = {Horsthemke, Ludwig and Bischoff, Christian and Gl{\"o}sek{\"o}tter, Peter and Burchard, Bernd and Staacke, Robert and Meijer, Jan}, title = {All optical readout scheme for photoluminescence based magnetic field sensors}, series = {2020 IEEE Sensors, Rotterdam, Netherlands}, booktitle = {2020 IEEE Sensors, Rotterdam, Netherlands}, doi = {10.1109/SENSORS47125.2020.9278923}, pages = {1 -- 3}, year = {2020}, abstract = {An improvement on a concept for all optical mag- netometry using nitrogen vacancies in diamond is presented. The concept is based on the fluorescence attenuation of optically pumped nitrogen vacancies by magnetic fields up to ≈ 50 mT. The attenuation is registered by modulating the pumping power to generate a constant signal at a photodetector. A sensitivity of 2.6μT/√Hz at a sampling frequency of 500 Hz is achieved.}, language = {de} } @inproceedings{HorsthemkeStaakeBurchardetal.2020, author = {Horsthemke, Ludwig and Staake, Robert and Burchard, Bernd and Meijer, Jan and Bischoff, Christian and Gl{\"o}sek{\"o}tter, Peter}, title = {Highly Sensitive Compact Room Temperature Quantum Scalar Magnetormeter}, series = {SMSI 2020}, booktitle = {SMSI 2020}, doi = {10.5162/SMSI2020/A1.4}, pages = {47 -- 48}, year = {2020}, abstract = {Magnetometry with nitrogen-vacancy (NV) defects in diamond has been extensively stud-ied in the past [1]. While most approaches in-clude the use of microwaves (MW) for the de-tection of electron spin resonance, only few investigate the sensitivity of the photolumines-cence (PL) from NV centers to an external magnetic field without MW [2, 3, 4]. This work aims to utilize this effect to build a highly sensi-tive and compact room temperature magne-tometer. The avoidance of MW serves the re-duction of production costs and allows a com-mercialization at the current patent situation.}, language = {de} } @inproceedings{LoechteGebertGloesekoetter2019, author = {L{\"o}chte, Andre and Gebert, Ole and Gl{\"o}sek{\"o}tter, Peter}, title = {End of charge detection of batteries with high production tolerances}, series = {Proceedings ITISE-2019. Granada, 25th-27th September 2019}, booktitle = {Proceedings ITISE-2019. Granada, 25th-27th September 2019}, address = {Granada (Spain)}, isbn = {978-84-17970-78-9}, pages = {554 -- 559}, year = {2019}, abstract = {When developing new battery technologies, fundamental research means assembling new batteries by hand since a production line is not worthwhile for building and testing individual cells. This causes high production tolerances to occur because manual manufacturing is not as precise as machine-made. When putting these prototypes into operation, problems can arise due to the varying parameters. One of the most important exercise is finding a criterion of a full battery. This can be challenging when parameters like the capacity or the end of charge voltage are not precisely known due to the tolerances. Furthermore, new battery types do not necessarily rely on the same stopping criteria. For example zinc-air secondary batteries do not offer an end of charging voltage. Its charging current is not going to decrease when the battery is full and the charging voltage is held at a fixed value. But instead of de-oxidising zinc oxide, hydrogen is produced. In the majority of cases overcharging should be avoided as it harms the battery. Another even more dangerous consequence is the possibility of an explosion. Especially lithium based batteries are known for their need of compatible ambient and charging parameters. This paper proposes a new criterion for detecting the end of charge that is based on the rate of change of electrochemical impedance spectra of the examined batteries. Device parameter fluctuations influence every measurement. Therefore, using the rate of change offers the possibility to not depend on these fluctuations.}, language = {de} } @inproceedings{LoechteGebertHemingetal.2018, author = {L{\"o}chte, Andre and Gebert, Ole and Heming, Daniel and Kallis, Klaus and Gl{\"o}sek{\"o}tter, Peter}, title = {State estimation of zinc air batteries using neural networks}, series = {IWANN 2017: Advances in Computational Intelligence}, volume = {2018}, booktitle = {IWANN 2017: Advances in Computational Intelligence}, editor = {Springer, Axel}, issn = {0941-0643}, doi = {10.1007/s00521-018-3705-9}, pages = {1 -- 9}, year = {2018}, abstract = {The main task of battery management systems is to keep the working area of the battery in a safe state. Estimation of the state of charge and the state of health is therefore essential. The traditional way uses the voltage level of a battery to determine those values. Modern metal air batteries provide a flat voltage characteristic which necessitates new approaches. One promising technique is the electrochemical impedance spectroscopy, which measures the AC resistance for a set of different frequencies. Previous approaches match the measured impedances with a nonlinear equivalent circuit, which needs a lot of time to solve a nonlinear least-squares problem. This paper combines the electrochemical impedance spectroscopy with neural networks to speed up the state estimation using the example of zinc air batteries. Moreover, these networks are trained with different subsets of the spectra as input data in order to determine the required number of frequencies.}, language = {de} } @inproceedings{LoechteGebertHorsthemkeetal.2018, author = {L{\"o}chte, Andre and Gebert, Ole and Horsthemke, Ludwig and Heming, Daniel and Gl{\"o}sek{\"o}tter, Peter}, title = {State of Charge Depended Modeling of an Equivalent Circuit of Zinc Air Batteries Using Electrochemical Impedance Spectroscopy}, series = {International Conference on Time Series and Forecasting: Proceedings of Papers, 19-21 September 2018, Granada (Spain)}, booktitle = {International Conference on Time Series and Forecasting: Proceedings of Papers, 19-21 September 2018, Granada (Spain)}, isbn = {978-84-17293-57-4}, pages = {625 -- 636}, year = {2018}, abstract = {Metal air batteries provide a high energy density as the ca-thodic reaction uses the surrounding air. Different metals can be usedbut zinc is very promising due to its disposability and nontoxic behav-ior. State estimation is quite complicated as the voltage characteristicof the battery is rather flat. Especially estimating the state of chargeis important as a secondary electrolysis process during overcharging canlead to an unsafe state. Another technique for state estimation is theelectrochemical impedance spectroscopy. Therefore, this paper describesthe process of setup and measuring a time series of impedance spectraat known states of charge. Then these spectra are used to derive anequivalent circuit. Finally the development of the circuit's parameter areanalyzed to extract most important parameters.}, language = {de} }