Michael Ramsey
Measurement uncertainty (MU) has become recognised as the primary metric of data quality for quantitative chemical measurements made in the laboratory (i.e. ex situ). Furthermore, the primary sampling of the material under consideration, is now generally considered to be the first step in the measurement process. It follows that the MU that arises from sampling (UfS) needs to be included in the overall estimate of MU. This principle also applies when measurements are made in situ, without removal of a physical sample, as is the case for most hand-held and locally positioned measurement...
TC10 Conference 2020 (ONLINE)
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Ankica Milinković, José Luis García-Balboa, Antonio Miguel Ruiz-Armenteros
Fixed storage tanks at atmospheric pressure or under pressure are built for bulk liquid storage and may be used for the measurement of volume or mass of liquid contained. When used for that measurement, they shall comply with the requirements described in international legal norms, developed by the International Organization of Legal Metrology (IOLM). There are different approaches and methods used for the conformity assessment of tanks, covering all or part of the operations for initial verification as well as subsequent verification or recalibration in service of the tanks. In this paper,...
TC10 Conference 2020 (ONLINE)
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Loredana Cristaldi, Marco Faifer, Alessandro Ferrero, Roberto Ottoboni
Failure Mode and Effects Analysis (FMEA) is a procedure that is often skipped or not completed generally because of time of financial constraints, despite its proper use during the different steps of the product life cycle (design, development, manufacturing and maintenance) makes it possible to identify and possibly solve potentially critical problems. The most often skipped part of the FMEA procedure is that related to the sensing and measuring equipment, when present. Even when they are considered, the analysis is confined to the possible effects of failures that make them unavailable,...
TC10 Conference 2020 (ONLINE)
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Sergey V Muravyov, Ekaterina Y Pogadaeva
This paper describes a potential applicability of the interval fusion with preference aggregation (IF&PA) approach to the weld image segmentation as the key stage in recognizing a welding joint defective region. In the proposed method, the weld image is divided into a series of equal horizontal bands. For each band, an intensity histogram is plotted, using which the lower and upper bounds are defined for the intervals, which are expected to characterize the defect (foreground) and defect-free (background) areas. The intervals are represented by inrankings forming the foreground and...
TC10 Conference 2020 (ONLINE)
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Angéla Váradiné Szarka, Sándor Tollár, Sándor Fegyverneki
Increasing market of electrical cars pushes part suppliers to fulfil new requirements and meet new challenges. This paper focuses to the increased lifetime requirements of parts in electrical vehicles. Component developers and suppliers are facing to difficulties of lifetime testing, as the increased periods are too long for practical tests. New accelerated endurance testing and mathematical estimation methods are required for reliable lifetime estimation. Research team of the University of Miskolc works on development of new lifetime estimation method for bush bearings of coolant pumps in...
TC10 Conference 2020 (ONLINE)
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Robert Glawar, Fazel Ansari, Zsolt János Viharos, Kurt Matyas, Wilfried Sihn
Autonomous production control (APC) is able to deal with challenges, inter alia, high delivery accuracy, shorter planning horizons, increasing product and process complexity, and frequent changes. However, several state-of-the-art approaches do not consider maintenance factors contributing to operational and tactical decisions in production planning and control. The incomprehensiveness of the decision models and related decision support tools cause inefficiency in production planning and thus lead to a low acceptance in the manufacturing enterprises. To overcome this challenge, this paper...
TC10 Conference 2020 (ONLINE)
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Eckart Uhlmann, Julian Polte, Claudio Geisert
Industrial robots are used in production technology for a wide variety of tasks. The most frequently used type worldwide is the so-called vertical articulated arm robot, often designed with 5 or 6 axes. Due to their relative movement, the axes are tribological systems, they are subject to wear and tear and must be maintained regularly. An important aspect of maintenance is the inspection, which aims to assess the current state of wear and tear. This paper presents a concept for condition monitoring by means of selftests for industrial robots. The basis is formed by MEMS-based vibration...
TC10 Conference 2020 (ONLINE)
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Dániel Erdősy, Tamás Bodolai, Angéla Váradiné Szarka
Electromagnetic compatibility is getting more and more interest as soon we are speaking about electronic devices. EMC must be planned, calculated, simulated, and measured to ensure that the device can work in the environment of other devices and does not disturb other devices by unwanted interference. In complex devices, simulation methods due to the large number of elements and complicated operations can be extremely costly and time consuming. We should consider how is it possible to reduce these costs, for example with simplifying our simulation terminology. This paper explains a general...
TC10 Conference 2020 (ONLINE)
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Maik Frye, Robert Heinrich Schmitt
The application of machine learning (ML) is becoming increasingly common in production. However, many ML-projects fail due to the existence of poor data quality. To increase its quality, data needs to be prepared. Through the consideration of versatile requirements, data preparation (DPP) is a challenging task, while accounting for 80 % of ML-projects duration [1]. Nowadays, DPP is still performed manually and individually making it essential to structure the preparation in order to achieve highquality data in a reasonable amount of time. Thus, we present a holistic concept for a structured...
TC10 Conference 2020 (ONLINE)
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Loredana Cristaldi, Michy Alice, Enrico Ragaini
A copula is a function that joins multivariate distribution functions to their margins (i.e. marginal distribution functions). Copulas are widely used in finance and economics for time series analysis and approaches based on them have found application in engineering as well, typically in civil and reliability engineering. In this paper, two data-driven prognostic algorithms based on copula application to power systems are proposed. The first is related to the estimation of the Remaining Useful Life (RUL) of a product, and the second aims at evaluating the performance and predict the...
TC10 Conference 2020 (ONLINE)
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