Identification and analysis of sources of errors of the magnetoelastic sensor

Jurayeva, Kamila; Nazirova, Z. G.; Mirasadov, M. J.

doi:10.1063/5.0071834

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…To solve this problem, it is necessary to identify the sources of errors and explore ways to reduce them. [2].…”

Section: Solving the Problemmentioning

confidence: 99%

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Development of magneto elastic transducers of mechanical quantities invariant to destabilizing factors

Amirov,

Jurayeva,

Nazirova

2023

E3S Web Conf.

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This article analyzes the transducers of mechanical quantities developed by various authors, invariant to destabilizing factors and ways to reduce the sources of errors affecting the main characteristics. At the same time, special attention is paid to the causes of various errors associated with the properties of the magnetic material, such as magneto elastic hysteresis and the nonlinearity of the transformation function. Additional errors caused by temperature changes and their studies have shown the possibility of reducing the temperature error by selecting the material of the magnetic circuit and choosing the optimal power supply modes. Fluctuations in the frequency and amplitude of the supply voltage are factors that significantly affect the sensitivity, while causing additional error, and the use of the classic Royer multivibrator scheme increases sensitivity.

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“…To solve this problem, it is necessary to identify the sources of errors and explore ways to reduce them. [2].…”

Section: Solving the Problemmentioning

confidence: 99%

“…Recently, much attention has been paid to the issues of reducing the zero signal and eliminating ambiguity [6].…”

Section: Solving the Problemmentioning

confidence: 99%

Development of magneto elastic transducers of mechanical quantities invariant to destabilizing factors

Amirov,

Jurayeva,

Nazirova

2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…For the right side of equality (20), setting the confidence interval reduced to the output permissible errors 2 1…”

Section: Mathematical Evaluation Jmentioning

confidence: 99%

Features of spectral vibration diagnostics of traction power transformers in high-speed motion

Amirov,

Yakubov,

Jurayeva

et al. 2023

E3S Web of Conf.

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This paper uses spectral analysis methods to develop a mathematical model and algorithms for evaluating the diagnosed signals corresponding to certain defects of windings and magnetic circuits of traction power transformers. A distinctive feature of the study is at certain frequencies of spectral dependences, taking into account the effects associated with defect formation that have a different cause of their manifestation, for example, wide-field fluctuations and changes in the shape and width of spectral peaks. The presence of random fluctuations caused the application of the normal Gaussian distribution law of the measured values of the spectra. To solve the problem of identifying the diagnosed spectra corresponding to certain defects of the power transformer, algorithms for identifying the vector of diagnostic features based on the method of statistical recognition theory for large amounts of information are proposed.

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Investigation of the accuracy characteristics of magnetoelastic transducers by the method of power polynomials

Amirov,

Jurayeva,

Nazirova

2024

Problems in the Textile and Light Industry in the Context of Integration of Science and Industry and Ways to Solve Them: Ptlici

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Identification and analysis of sources of errors of the magnetoelastic sensor

Cited by 4 publications

References 1 publication

Development of magneto elastic transducers of mechanical quantities invariant to destabilizing factors

Development of magneto elastic transducers of mechanical quantities invariant to destabilizing factors

Features of spectral vibration diagnostics of traction power transformers in high-speed motion

Investigation of the accuracy characteristics of magnetoelastic transducers by the method of power polynomials

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