ANTOLOVIČ, Boris ;GRABEC, Igor . Application of Non-parametric Regresion in Locators of Acoustic Emission Sources. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 40, n.9-10, p. 297-310, july 2017. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/application-of-non-parametric-regresion-in-locators-of-acoustic-emission-sources/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/.
Antolovič, B., & Grabec, I. (1994). Application of Non-parametric Regresion in Locators of Acoustic Emission Sources. Strojniški vestnik - Journal of Mechanical Engineering, 40(9-10), 297-310. doi:http://dx.doi.org/
@article{.,
author = {Boris Antolovič and Igor Grabec},
title = {Application of Non-parametric Regresion in Locators of Acoustic Emission Sources},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {40},
number = {9-10},
year = {1994},
keywords = {Non-parametric Regresion; Emission Sources; Acoustic Emission; },
abstract = {This paper describes a locator of acoustic emission sources based on a non-parametric regression procedure. It includes a network of AE sensors, a triggered clock and PC. A learning and an analysis phases are characteristic of the operation of a locator. During learning, AE bursts in the specimen are detected by sensors, while the clock measures the time delays between them. In the computer, a particular AE burst is represented by a vector comprised of time delays and corresponding source coordinates. In this phase, a set of experiments provides prototype data which are stored in the computer and represent an empirical model of the AE phenomenon. After learning, the locator is capable of determining the source position from measured time delays throughout the procedure of non-parametric regression. It is shown in the paper that the same locator is applicable on samples of various geometrical properties and with various sensor network configurations.},
issn = {0039-2480}, pages = {297-310}, doi = {},
url = {https://www.sv-jme.eu/article/application-of-non-parametric-regresion-in-locators-of-acoustic-emission-sources/}
}
Antolovič, B.,Grabec, I. 1994 July 40. Application of Non-parametric Regresion in Locators of Acoustic Emission Sources. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 40:9-10
%A Antolovič, Boris %A Grabec, Igor %D 1994 %T Application of Non-parametric Regresion in Locators of Acoustic Emission Sources %B 1994 %9 Non-parametric Regresion; Emission Sources; Acoustic Emission; %! Application of Non-parametric Regresion in Locators of Acoustic Emission Sources %K Non-parametric Regresion; Emission Sources; Acoustic Emission; %X This paper describes a locator of acoustic emission sources based on a non-parametric regression procedure. It includes a network of AE sensors, a triggered clock and PC. A learning and an analysis phases are characteristic of the operation of a locator. During learning, AE bursts in the specimen are detected by sensors, while the clock measures the time delays between them. In the computer, a particular AE burst is represented by a vector comprised of time delays and corresponding source coordinates. In this phase, a set of experiments provides prototype data which are stored in the computer and represent an empirical model of the AE phenomenon. After learning, the locator is capable of determining the source position from measured time delays throughout the procedure of non-parametric regression. It is shown in the paper that the same locator is applicable on samples of various geometrical properties and with various sensor network configurations. %U https://www.sv-jme.eu/article/application-of-non-parametric-regresion-in-locators-of-acoustic-emission-sources/ %0 Journal Article %R %& 297 %P 14 %J Strojniški vestnik - Journal of Mechanical Engineering %V 40 %N 9-10 %@ 0039-2480 %8 2017-07-05 %7 2017-07-05
Antolovič, Boris, & Igor Grabec. "Application of Non-parametric Regresion in Locators of Acoustic Emission Sources." Strojniški vestnik - Journal of Mechanical Engineering [Online], 40.9-10 (1994): 297-310. Web. 19 Nov. 2024
TY - JOUR AU - Antolovič, Boris AU - Grabec, Igor PY - 1994 TI - Application of Non-parametric Regresion in Locators of Acoustic Emission Sources JF - Strojniški vestnik - Journal of Mechanical Engineering DO - KW - Non-parametric Regresion; Emission Sources; Acoustic Emission; N2 - This paper describes a locator of acoustic emission sources based on a non-parametric regression procedure. It includes a network of AE sensors, a triggered clock and PC. A learning and an analysis phases are characteristic of the operation of a locator. During learning, AE bursts in the specimen are detected by sensors, while the clock measures the time delays between them. In the computer, a particular AE burst is represented by a vector comprised of time delays and corresponding source coordinates. In this phase, a set of experiments provides prototype data which are stored in the computer and represent an empirical model of the AE phenomenon. After learning, the locator is capable of determining the source position from measured time delays throughout the procedure of non-parametric regression. It is shown in the paper that the same locator is applicable on samples of various geometrical properties and with various sensor network configurations. UR - https://www.sv-jme.eu/article/application-of-non-parametric-regresion-in-locators-of-acoustic-emission-sources/
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author = {Antolovič, B., Grabec, I.},
title = {Application of Non-parametric Regresion in Locators of Acoustic Emission Sources},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {40},
number = {9-10},
year = {1994},
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TY - JOUR AU - Antolovič, Boris AU - Grabec, Igor PY - 2017/07/05 TI - Application of Non-parametric Regresion in Locators of Acoustic Emission Sources JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 40, No 9-10 (1994): Strojniški vestnik - Journal of Mechanical Engineering DO - KW - Non-parametric Regresion, Emission Sources, Acoustic Emission, N2 - This paper describes a locator of acoustic emission sources based on a non-parametric regression procedure. It includes a network of AE sensors, a triggered clock and PC. A learning and an analysis phases are characteristic of the operation of a locator. During learning, AE bursts in the specimen are detected by sensors, while the clock measures the time delays between them. In the computer, a particular AE burst is represented by a vector comprised of time delays and corresponding source coordinates. In this phase, a set of experiments provides prototype data which are stored in the computer and represent an empirical model of the AE phenomenon. After learning, the locator is capable of determining the source position from measured time delays throughout the procedure of non-parametric regression. It is shown in the paper that the same locator is applicable on samples of various geometrical properties and with various sensor network configurations. UR - https://www.sv-jme.eu/article/application-of-non-parametric-regresion-in-locators-of-acoustic-emission-sources/
Antolovič, Boris, AND Grabec, Igor. "Application of Non-parametric Regresion in Locators of Acoustic Emission Sources" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 40 Number 9-10 (05 July 2017)
Strojniški vestnik - Journal of Mechanical Engineering 40(1994)9-10, 297-310
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
This paper describes a locator of acoustic emission sources based on a non-parametric regression procedure. It includes a network of AE sensors, a triggered clock and PC. A learning and an analysis phases are characteristic of the operation of a locator. During learning, AE bursts in the specimen are detected by sensors, while the clock measures the time delays between them. In the computer, a particular AE burst is represented by a vector comprised of time delays and corresponding source coordinates. In this phase, a set of experiments provides prototype data which are stored in the computer and represent an empirical model of the AE phenomenon. After learning, the locator is capable of determining the source position from measured time delays throughout the procedure of non-parametric regression. It is shown in the paper that the same locator is applicable on samples of various geometrical properties and with various sensor network configurations.