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Page 116 of 977 Results 1151 - 1160 of 9762

Deng Bin, Sun Xiaoyan, Li Wenqiang, Wang Mingyu, Xu Hailong, Guan Zexin, Wang Dalong, Zhang Zhe, Wang Weizhao
Research and application of time relay calibration device

This paper introduces the design principle and application of time interval measuring instrument. A simple calibration device basing on the powerful data processing ability of single chip microcomputer, has strong data processing capability for time relay is designed Which solves the traceability problem of various types of time relays, and realizes the automatic calibration of time relays, the uncertainty of measurement process is analyzed and studied. Not only be used to calibrate the time relay, but also be used for testing industrial digital electronic detonators and other initiating explosive devices.

Marcelo M Costa, André L C França
Using historical data to improve electrical resistance standards measurement uncertainty

This paper presents methodologies for the evaluation of historical data of electrical resistance standards in order to improve their performance in relation to manufacturer’s specification, in order to improve test uncertainty ratio and measurement uncertainty.

Seif Ben-Hassine, Dominique Renoux, Catherine Yardin, Jabran Zaouali, Jimmy Dubard, Jean-Marie Lerat, Pierre Betis, Isabelle Blanc
Design and validation of a reference multi-sensor cinemometer for law enforcement applications

This paper describes a new reference multi-sensor cinemometer designed for the purpose of the homologation of radars dedicated to road traffic control. It is intended to replace the actual reference cinemometer deployed in France, which is not longer adapted to the new generation of radars as it delivers less measurement parameters and has less detection capabilities. The new multi-sensor cinemometer system is presented by detailing the operation of its processing units. The fusion of measurements provided by the various sensors is explained. The computation of the reference speed and its associated uncertainty is exposed. Finally, on-site measurement results are presented by comparing the system with the actual reference cinemometer.

Giovanni Bucci, Fabrizio Ciancetta, Andrea Fioravanti, Edoardo Fiorucci, Simone Mari, Andrea Silvestri
Online SFRA characterization of a batch of induction motors for predictive maintenance

Asynchronous motors represent a large percentage of motors used in industry. Implementing predictive maintenance techniques can be justified in the case of engines that are of critical importance in the processes despite being of low cost. In these cases, the continuous monitoring of the motors requires noninvasive and online techniques, which allow the monitoring of motor characteristics over time to highlight potential trends that tend toward the condition of catastrophic failure. Online SFRA may be of interest in this scenario. In this article, this technique has been applied to a set of new asynchronous motors. They have been characterized under different load conditions. The results were used to determine transfer functions (TFs) with which it is possible to compare the TFs acquired by an engine to be monitored. The test system and the first experimental results are presented.

Jianbo Liu, Wenqiang Li, Weizhao Wang, Xuefeng Ma, Mei Yang Bin Deng, Xinyan Wang
Automatic Detection System of New Energy Vehicle Charging Pile Based on Image Recognition

In this paper, the active electric energy value of the charging pile and its change time scale are obtained through the image recognition algorithm, and the low-pass filter algorithm is used to filter out the time scale jitter. By calculating the active electric energy value (Ex) of the charging pile in the time scale interval and the standard electric energy value (Eb) in the same interval, the active electric energy error is calculated according to the electric energy comparison method. Compared with the traditional energy comparison method, the verification time is related to the minimum quantitative value of active electric energy, The verification time of this method is only related to the jitter of time scale and the quantization error of camera, which can greatly improve the verification efficiency of low-power charging pile.

Oleh Velychko, Ruslan Vendychanskyi
Research of Long-Term Drift of the National High-Voltage DC Standard

The high-voltage direct current (DC) technology is widely used in electrophysical, environmental, electrical, power plants and systems. Power transmission DC is more economical than on alternating current, therefore high DC lines are built in many countries. The high-voltage DC is used for testing of the insulation of capacitors, cables, rotating machines, etc. For these types of insulation, the detection of significant defects is effective at high direct voltage. The National high-voltage DC standard of Ukraine has already undergone several modernizations to improve its metrological characteristics and reliability during operation from 1999. Research of the metrological characteristics of the this standard allows to increase the accuracy and reliability of calibration of high-voltage DC working standards of accredited calibration laboratories.

Oleh Velychko, Tetyana Gordiyenko
Evaluation results of COOMET Key Comparison of Power

The Agreement on Mutual Recognition of the International Committee on Weights and Measures plays a key role for the mutual recognition of the measurement results that are carried out in the National Metrology Institutes from different countries. The COOMET Key Comparison of Power was conducted between thirteen National Metrology Institutes and Designated Institutes from five Regional Metrology Organizations. Traditional results of comparison are published in the Key Comparison Database of International Bureau for Weights and Measures. Results of comparative analysis of this comparison in the context of Regional Metrology Organizations and metrological traceability are presented. For checking consistency of Key Comparison data was used En number and z scores. Results for all participants of comparison are satisfactory for En number and z scores.

Emanuele Buchicchio, Alessio De Angelis, Francesco Santoni, Paolo Carbone
Lithium-Ion Batteries state of charge estimation based on electrochemical impedance spectroscopy and convolutional neural network

Estimating the state of charge of batteries is a critical task for every battery-powered device. In this work, we propose a machine learning approach based on electrochemical impedance spectroscopy and convolutional neural networks. A case study based on Samsung ICR18650-26J lithium-Ion batteries is also presented and discussed in detail. A classification accuracy of 80% and top-2 classification accuracy of 95% were achieved on a test battery not used for model training.

Cristian Fosalau, George Maties, Cristian Zet
Engine rotational speed estimation using audio recordings and machine learning algorithms

There are many situations in practice when the value of the rotational speed of an engine is needed to be known and a direct instrument for measuring it is not available or, if present, it is decalibrated. One can use instead a non-contact method for estimating the speed. The paper presents such a non-contact method for estimating the rotational speed of a heat engine based on audio recordings and machine learning algorithms. The method principle, experimental validation and a discussion upon the optimal parameters and factors that lead to the best performances are presented.

Hussein Al-Rikabi, Balázs Renczes
Floating-Point Roundoff Error Analysis in Artificial Neural Networks

In this paper, roundoff errors in Artificial Neural Networks (ANNs) are analyzed on a model for Solid-State Power Amplifiers (SSPAs). Calculations are carried out on 32-bit Floating-Point (FP32) arithmetics, and results are verified using 64-bit floating-point representation as reference. Besides the modeling of quantization noise at every operation, error propagation is also taken into consideration when calculating the cumulative Quantization Noise Power (QNP) after each stage and at the final output. By this means, the predictability of roundoff errors in the ANN is demonstrated. Consequently, it can be determined whether the FP32 arithmetic is sufficient instead of applying the computationally more demanding 64-bit calculations.

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