2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) 2016
DOI: 10.1109/apeie.2016.7802265
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of stationary means of measurement filters with optimum sensitivity

Abstract: When transmitting information and control signals to electrical, electromechanical and mechatronic systems are require reduction to the lowest possible levels of noise interference. For this is substantiated in the general formulation of the one-dimensional problem of determining the sensitivity of a linear stationary optimal Wiener filtration. It is proposed to use the method of local approximation of the spectral densities for the quantitative determination of indicators of sensitivity converting electrical … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
4
0
1

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 18 publications
(5 citation statements)
references
References 4 publications
0
4
0
1
Order By: Relevance
“…The elimination of gross errors can be performed for both the surface and the profile. Filtration is designed to cut off noise (vibration), as well as to reveal surface imperfections [21,22]. Traditionally, three types of filters are used according to ISO 16610-1: 2006: 2RC -linear Gaussian; 2RC PC -linear Gaussian with phase correction; Gaussian double filtration filter (cavity suppression filter).…”
Section: Formulation Of the Problemmentioning
confidence: 99%
“…The elimination of gross errors can be performed for both the surface and the profile. Filtration is designed to cut off noise (vibration), as well as to reveal surface imperfections [21,22]. Traditionally, three types of filters are used according to ISO 16610-1: 2006: 2RC -linear Gaussian; 2RC PC -linear Gaussian with phase correction; Gaussian double filtration filter (cavity suppression filter).…”
Section: Formulation Of the Problemmentioning
confidence: 99%
“…To solve the problem of identifying and estimating the deviation parameters, the Digital Image Correlation method [9], digital filters [10] and the enumeration classification method based on Mora polynomials [11] can also be used.…”
Section: Creating Valid 3d Modelsmentioning
confidence: 99%
“…Тенденции развития и применения современных машиностроительных систем так или иначе создают проблему анализа и выбора в случае наличия альтернатив объектов или же при большом количестве критериев сравнения -показателей эффективности объектов или систем [1][2][3][4][5][6][7][8][9][10].…”
Section: Introductionunclassified