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Marcelo Costa
Traceable electric current clamp meter calibration using current coil

This paper presents a procedure for electric current clamp meters calibration in the range of 20 A to 1000 A, DC and low frequency, using a multifunction calibrator as working standard and a current coil for multiplication of the current generated by the calibrator. This procedure is an alternative for calibration techniques that employ high current sources and standard current transformers. Some calibration results are presented and analysed. Measurement uncertainty of about 2 × 10-3 at 200 A (60 Hz) for toroidal-wound clamp meter calibration can be obtained.

Yong Hu, Qiangmin Xia, Ying Xiao
Design of High-speed ATE Calibration Equipment

The calibration of Automated Test Equipment(ATE) is an important part of microelectronics measurement. To achieve full calibration of high-speed ATE, each high-speed digital channel should be traced to the calibration equipment. Calibrating each channel individually with an instrument will pose a great challenge to the calibration of ATE, and channel switching will increase a large amount of calibration time. This paper puts forward a design solution of calibration equipment of high-speed ATE, which can realize the versatility and portability of calibration equipment, and realize multichannel automatic calibration progress.

Melvin Liebsch, Olaf Dunkel, Andrea Del Carme Fontanet Valls, Stephan Russenschuck, Stefan Kurz
Distance Calibration of Large PCB Induction-Coil Arrays in ActiveMode

Rotating- and translating coil systems for magnetic measurement of particle accelerator magnets rely on induction-coil arrays often built in printed circuit board technology. For the accurate calculation of field gradients from induced voltages, the distances between the coils need to be calibrated. In this paper we present a calibration approach, based on the operation of the PCB in active mode, i.e., exciting the coils with a small current. The resulting flux density distribution is scanned with a uni-axial Hall probe, translated by the stages of a coordinatemeasuring machine (CMM). The proposed calibration approach does not rely on field absolutes. Geometric coil distances are computed only from zero crossings of the measured signal. In this way, a low field sensor calibration can be avoided and systematic errors are reduced.

S. Sorti, C. Petrone, S. Russenschuck, F. Braghin
A Mechanical Analysis of Rotating-Coil Magnetometers

Rotating-coil magnetometers are among the most common and most accurate transducers for measuring the integral magnetic-field harmonics in accelerator magnets. The measurement uncertainty depends on the mechanical properties of the shafts, bearings, drive systems, and supports. In this paper we study the mechanical phenomena (static and dynamic) affecting rotating-coil measurements and propose analysis and diagnostic methods for improving the instrument in terms of material choice and geometrical design. The propagation of uncertainty is investigated on the measured quantities (induced voltages, integrated and developed into a Fourier series, the coefficients of which are know as field harmonics). This results in a consistent framework for the design of a measurement bench for rotating-coil magnetometers. The paper also presents the design of a complete system, including displacement stages, supports, rotating coils, and an angular position system.

Pasquale Arpaia, Marco Buzio, Ernesto De Matteis, Alessandro Parrella, Mariano Pentella
Magnetic properties of a nanocrystalline material for current derivative sensors of magnets protection systems

Nanocrystalline materials are becoming ever more broadly used in transformer-based transducers due to their low losses, high relative permeability and high saturation flux density. In this paper, the magnetic characterization of one of these materials is presented by highlighting its influence on the performance of a current derivative sensor. This sensor was recently prototyped at CERN in the framework of the consolidation activity on the quench protection of superconducting magnets for the high-luminosity upgrade of the Large Hadron Collider. The performance is analyzed in terms of linearity and dynamic response.

Pasquale Arpaia, Dominique Dallet, Ernesto Erra, Annarita Tedesco
Reliability measurements of an Augmented Reality-based 4.0 system for supporting workmen in handmade assembly

The 4.0 paradigm has diffused across many sectors in a number of technological application fields, from industry to healthcare and constructions, and also to immaterial contexts, such as social events. The relevant enabling technologies of this paradigm are declined to adhere to the requirements of the specific field. Because 4.0 is often associated with technological advancement, in the literature, little attention has been dedicated to the adoption of 4.0 technologies in sectors that are not intrinsically technological. Starting from these considerations, the goal of this work is to address the possibility of extending the 4.0 Era paradigm also to fields that, by definition, are not technology-oriented, such as the craft sector. In particular, as a case study, the adoption of augmented reality (AR) to administer instructions to a workman in the manual assembly of a product is addressed. In line with the 4.0 paradigm, a dedicated workman-centered, AR application was designed, implemented and tested. As a case study, the manual assembly of a mechanical clock was considered. After describing the design strategies and the implementation modalities, experimental tests were carried out to measure the reliability of the AR-based system.

Salvatore Gaglio, Giuseppe Lo Re, Daniele Peri, Riccardo Rizzo, Claudio Sorrenti
Testing Wearable IoT Applications through Sensor Virtualization

The development of distributed IoT applications requires the integration of data provided by different sensors embedded in multiple devices. As an example, an application for health monitoring in an assisted living scenario may include several wearable and fixed nodes each carrying different sensors and running specific code. Verifying that the application is properly working according to the specifications requires assessing that the code of each node behaves consistently in all the possible use cases. Tests involving sensor data may be difficult or costly to replicate realistically and this could also slow down the development of the application in its early stages. In this paper we introduce a tool that allows developers of IoT distributed applications to test the interoperability of code running on heterogeneous IoT devices through sensor virtualization. We show the feasibility of the approach in a case study of an application involving a wearable device and a single-board computer connected through Bluetooth Low Energy.

Zakaria Benomar, Giuseppe Campobello, Francesco Longo, Giovanni Merlino, Antonio Puliafito
A new Fog-enabled Wireless Sensor Network architecture for Industrial Internet of Things applications

Wireless Sensor Networks (WSNs) have gained considerable popularity in industrial applications and are widely used nowadays in several industrial monitoring and control systems. To process and store the huge amount of data WSNs generate, most of the solutions opt for the Cloud approach as it provides suitable capabilities to deal with Big Data scenarios. However, as discussed in this paper, Cloud-based solutions have several drawbacks, e.g. latency and security, to name just a few. To overcome these drawbacks, we propose a system meant for monitoring of industrial assets based on the Fog computing paradigm. As shown in this paper, the proposed solution provides better performance in terms of reliability/accuracy and allows full control over the sensor nodes. The system provides also the ability to rapidly program the Fog nodes and update their business logic. Finally, the advantages of the proposed Fog-based solution are discussed considering a real-world industrial application scenario.

Concetta Baldone, Giovanni E. Galioto, Daniele Croce, Ilenia Tinnirello, Chiara Petrioli
Doppler Estimation and Correction in Underwater Industrial Internet of Things

Emerging industrial applications in underwater settings (e.g. oil and gas, fisheries) are usually based on acoustic signals which suffer significant Doppler effect distortions. Indeed, waves, currents, and tides may cause unintentional transmitter/receiver motion (drifting) as well as changes in the physical properties and spatial variations of the channel itself. In this paper, we study how to correct Doppler effects in JANUS transmissions, a widely used standard for underwater IIoT. In particular, we exploit the JANUS preamble, composed of an m-sequence of 32 pseudo-random symbols, to estimate and compensate the Doppler effect, without requiring any modification to the standard. The proposed method is validated using Watermark simulator.

Stanislav Mašlán
High capacitance simulation using mutual inductors

This paper describes experimental high capacitance simulator based on a mutual inductance. The standard was designed for calibration of battery impedance analyzers (EIS). The designed standard is equipped by a DC bias voltage source designed to simulate typical lithium battery cell. The DC bias source was designed so it does not affect properties of simulated impedance by its own internal impedance. The whole standard was designed for a frequency range from fraction of hertz to at least 5 kHz and it can withstand peak measurement current up to 2.5 A.

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