Effect of the Error of Measurement of Current Harmonics on the Accuracy of Determination of Magnetic Characteristics

Gorbatenko, N. I.; Lankin, Anton; Lankin, M. V.

doi:10.1007/s11041-017-0070-8

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…Consider how the DCM will behave in the course of projecting into the space of the PC [14,15,16]. The purpose of the experiment in the analysis of the location of the points of the corresponding DCM2-DCM35 in the PC space with respect to the point of the corresponding DCM1.…”

Section: Experimental Studies Of Increasing Robustnessmentioning

confidence: 99%

Increase robustness of the method of diagnostics and identification of high-precision positioning systems

2017

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Abstract. Today, high-precision positioning systems are used in various fields of science and technology, providing fast and accurate control of movements. Considering the fact that such systems perform important tasks, diagnostics and timely detection of defects is an urgent task. To effectively diagnose and identify defects of such systems, a method based on the transition to the space of principal components was developed. Such a method will make it possible to represent each characteristic in the form of a point in a new orthogonal space. Despite the possibility of using such a method, a drawback was revealed, which is the low stability of this method to the gross errors in the measurement. In this paper, we propose an approach that provides a significant increase in the stability of the method for diagnosing and identifying high-precision positioning systems.

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Section: Experimental Studies Of Increasing Robustnessmentioning

confidence: 99%

Increase robustness of the method of diagnostics and identification of high-precision positioning systems

2017

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“…Under normal circumstances, the working principle and technical specifications of electric energy metering devices are designed and operated in standard sinusoidal voltage and current signals at a rated frequency of 50 Hz. However, that does not consider the harmonic interference factors in the grid-connected power generation environment such as the renewable energy in Gorbatenko et al [3]. Actually, harmonics are widespread in the power systems.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Detection Algorithm for Micro-grid Harmonic Power Based on Deep Belief Network

2021

Teh. vjesn.

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There are many non-linear load devices in the micro-grid, resulting in a lot of complex harmonics, which is a key problem that leads to low measurement accuracy of electric energy metering devices. The traditional integrated empirical mode decomposition (EEMD) method can effectively deal with the problem of nonlinear and nonstationary signals, but this method has the problem of being highly dependent on artificial pre-set parameters. Here, the deep belief network (DBN) is introduced in the white noise signal generation process of EEMD. The main problems solved are as follows: one is to adaptively match the white noise signal according to the data characteristics of the current signal in the micro-grid, the other is to reduce the artificial setting error and make the separation result closer to the theoretical value. Finally, this paper uses the operating data in the actual environment to carry out experimental verification, and the results show that the error between the value of harmonic power in the production environment and the theoretical value given is reduced by 9.73%.

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The Cognitive System for Determining the Magnetic Characteristics of High-Coercive Permanent Magnets

Korol

Lankin

2023

Cyber-Physical Systems and Control II

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Effect of the Error of Measurement of Current Harmonics on the Accuracy of Determination of Magnetic Characteristics

Cited by 6 publications

References 2 publications

Increase robustness of the method of diagnostics and identification of high-precision positioning systems

Increase robustness of the method of diagnostics and identification of high-precision positioning systems

An Adaptive Detection Algorithm for Micro-grid Harmonic Power Based on Deep Belief Network

The Cognitive System for Determining the Magnetic Characteristics of High-Coercive Permanent Magnets

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