Mirko Marracci, G. Caposciutti, A. Buffi, G. Bandini and B. Tellini
In this paper, a new possible definition of failure zone for Li-ion batteries is proposed. Based on the general concept that a battery can be considered failed when its performance no longer meets the requirements of the application for which it is designed, a new application-dependent failure zone definition is proposed using the Ragone plot of the cell. The results of an experimental campaign to validate the proposal are presented and discussed in the paper.
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.022
· Download
Iacopo Marri, Emil Petkovski,Loredana Cristaldi, Marco Faifer
Lithium-Ion batteries, have become enormously used in many systems and applications, and are the most widespread energy storage system. Optimizing the usage of batterie is therefore very important to increase the safety of systems like electric vehicles or portable devices, to reduce economic loss in industrial environments, and to increase their availability. An accurate State of Health (SoH) estimation is important since it allows us to know battery conditions and make an appropriate use of it, and it improves the accuracy of other diagnostic measures, like State of Charge (SoC). In this...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.021
· Download
I. MpiaBolombanza, G.EkuluNdiakama, M.AvociUgwiri, B.Kilundu
In many industrial situations, bearing failure can lead to serious consequence on the overall process. A bearing’s fault progressive character raises the question of finding the right moment to perform replacement at the cost of stopping the machine. The study done in this paper deals with mathe- matical modeling of the bearing’s rolling element with a local defect on its fixed outer ring, based on a mass-spring-damper archetype system. A simulation of the vibratory behavior is performed, and its impact on ball-defect coincidences during shaft rotation under different working conditions is...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.020
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Yu Jun, Olena Hordiichuk-Bublivska, Yan Lingyu, Marian Kyryk, Mykola Beshley, Hu Jiwei
The problem of Big Data processing in large industrial systems requires the use of machine learning methods. A smart grid system is an example of improving the efficiency of traditional data processing systems, which allows much more efficient and flexible distribution of electricity to end-users. However, for a smart grid to work properly, it needs to constantly monitor data from sensors and meters. The Singular Value Decomposition (SVD) algorithm is used to improve the efficiency of Big Data processing and reduce its dimensionality. The paper proposes the use of advanced SVD, which can...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.019
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Karol Kuczynski, Piotr Bilski, Adrian Bilski, Jerzy Szymanski
The paper discusses the method for detecting defects that may arise in the construction of ring-shaped magnetoelectric sensors. The approach is based on the amplitude and phase spectral analysis generated on the sensor’s output. The defect detection is performed using the Discrete Fourier Transform (DFT). The experiments covered two faults, related to the physical dislocation of the amorphous metal ribbon around the magnetic ring. Results show that it is possible to automatically locate particular defects in the electromagnetic sensor based on the input-output characteristic analysis.
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.018
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Krzysztof Dowalla, Piotr Bilski, Ryszard Kowalik
The series arc faults are a common cause of household fires. Low fault current amplitude is the reason for the difficulties in implementing effective arc detection systems. The paper presents a novel arc detection and line selection method. It can be easily used in the low-voltage Alternate Current (AC) network to enhance the functionality of the Non-Intrusive Load Monitoring (NILM) system with arc detection for the whole household. Unlike existing methods, the proposed approach exploits not only current signal but also voltage signal time domain analysis. In the case of arc fault detection,...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.017
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Tamás Gyulai, Péter Wolf, Ferenc Kása, Zsolt János Viharos
Learning Factory (LF) – as a concept - is fully in line with the Industry 4.0 and also with the novel Industry 5.0 major trends, creating an integrated, realistic learning environment, combining didactics, layout and processes with testing and experimentation opportunities. There are already well functioning LFs but their main emphases are very different, fitted to the given, regional industrial potentials. To manage a LF, a precise and structured activity set is needed which formulation is the main contribution of the given manuscript. The paper reviews the main global trends and various...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.016
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Gianluca Albanese, Antonio Delle Femine, Daniele Gallo, Claudio Iodice, Massimo Iorizzo, Carmine Landi, Francesco Letizia, Mario Luiso, Bruno Testa
Traditional sterilization techniques for wine (more in general liquid food) often compromise the organoleptic properties of the food itself. Research is underway to find alternative solutions. The pulsed electric field has proved to be an alternative technique for food sterilization. However, scientific papers on this topic report conflicting results regarding treatment details such as the duration, amplitude, frequency and number of required field pulses. In this article, some preliminary experiments will be presented in the application of pulsed electric fields in winemaking, taking care...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.015
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Maria Emanuela Palmieri, Laura Fabbiano, Antonella Gaspari, Luigi Tricarico
A methodology to consider the process variability related to a deep-drawing process is proposed, with reference to specific laboratory conditions. In fact, the integration among numerical simulation, control system and measurements informative flows carried out in controlled conditions is expected to improve - and thus limit, the variability introduced in the conditions of the field, where the machining tool is called to operate. The results obtained from a preliminary experimental campaign aimed at fine-tuning the models and feedback control algorithms appear promising. This is based on the...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.014
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E. Natale, G. D’Emilia, L. Chiominto, A. Gaspari, S. Marsella, M. Marzoli
This paper aims to investigate the possibility of using measuring instruments to obtain objective indications of the state of a building following an earthquake, to facilitate the planning of interventions in safe conditions and to design provisional structures. The use of such tools would also be useful for monitoring both buildings and provisional structures over time. In particular, a Laser Scanner and a Total Station are examined and compared from a metrological point of view, to evaluate the possibility of using them in emergency situations, which present particular criticalities for...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.013
· Download