Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

Reliable and efficient mechatronic systems is the focus of a large number of engineers today. From this it follows that experimental techniques to study critical locations with respect to wear and energy dissipation, such as tribological contacts, are receiving much attention. A fundamental problem is that friction is not an intrinsic material property, but a system property, and this gap between real tribological systems and idealized laboratory test systems is a main research challenge in tribology today. An appealing approach to overcome this problem is the use of non-invasive experimental techniques. Ultrasound based techniques to study lubrication film thickness measurements is in this regard a tempting tool, however the calibration procedure for this technology can be challenging and the robustness of the calibration is limited in highly dynamic environments, such as fluid power pumping and motoring units. In this paper the fundamental linear regression of an autocalibration algorithm is presented, which generalize previous results, and show that the dot product of the incident and reflected wave spectrum vectors is proportional to the squared magnitude of the reflected wave spectrum. In consequence, the incident wave spectrum should in general be obtainable by use of linear adaptive filtering techniques.

OriginalsprogEngelsk
TitelICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation
Antal sider5
ForlagAssociation for Computing Machinery
Publikationsdatookt. 2018
Sider154-158
ISBN (Trykt)978-1-4503-6563-5
ISBN (Elektronisk)9781450365635
DOI
StatusUdgivet - okt. 2018
Begivenhed6th International Conference on Control, Mechatronics and Automation - Tokyo, Japan
Varighed: 12 okt. 201814 okt. 2018

Konference

Konference6th International Conference on Control, Mechatronics and Automation
LandJapan
ByTokyo
Periode12/10/201814/10/2018
NavnACM International Conference Proceedings Series

Fingerprint

Thickness measurement
Lubrication
Film thickness
Ultrasonics
Calibration
Adaptive filtering
Tribology
Mechatronics
Linear regression
Energy dissipation
Materials properties
Wear of materials
Friction
Engineers
Fluids

Citer dette

Kæseler, R. L., & Johansen, P. (2018). Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements. I ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation (s. 154-158). Association for Computing Machinery. ACM International Conference Proceedings Series https://doi.org/10.1145/3284516.3284534
Kæseler, Rasmus Leck ; Johansen, Per. / Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements. ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation. Association for Computing Machinery, 2018. s. 154-158 (ACM International Conference Proceedings Series).
@inproceedings{192dff588e944590957bbbbf5b0aaf13,
title = "Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements",
abstract = "Reliable and efficient mechatronic systems is the focus of a large number of engineers today. From this it follows that experimental techniques to study critical locations with respect to wear and energy dissipation, such as tribological contacts, are receiving much attention. A fundamental problem is that friction is not an intrinsic material property, but a system property, and this gap between real tribological systems and idealized laboratory test systems is a main research challenge in tribology today. An appealing approach to overcome this problem is the use of non-invasive experimental techniques. Ultrasound based techniques to study lubrication film thickness measurements is in this regard a tempting tool, however the calibration procedure for this technology can be challenging and the robustness of the calibration is limited in highly dynamic environments, such as fluid power pumping and motoring units. In this paper the fundamental linear regression of an autocalibration algorithm is presented, which generalize previous results, and show that the dot product of the incident and reflected wave spectrum vectors is proportional to the squared magnitude of the reflected wave spectrum. In consequence, the incident wave spectrum should in general be obtainable by use of linear adaptive filtering techniques.",
keywords = "Ultrasonics, Lubrication, Thickness, Measurements",
author = "K{\ae}seler, {Rasmus Leck} and Per Johansen",
year = "2018",
month = "10",
doi = "10.1145/3284516.3284534",
language = "English",
isbn = "978-1-4503-6563-5",
series = "ACM International Conference Proceedings Series",
publisher = "Association for Computing Machinery",
pages = "154--158",
booktitle = "ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation",
address = "United States",

}

Kæseler, RL & Johansen, P 2018, Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements. i ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation. Association for Computing Machinery, ACM International Conference Proceedings Series, s. 154-158, 6th International Conference on Control, Mechatronics and Automation, Tokyo, Japan, 12/10/2018. https://doi.org/10.1145/3284516.3284534

Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements. / Kæseler, Rasmus Leck; Johansen, Per.

ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation. Association for Computing Machinery, 2018. s. 154-158 (ACM International Conference Proceedings Series).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements

AU - Kæseler, Rasmus Leck

AU - Johansen, Per

PY - 2018/10

Y1 - 2018/10

N2 - Reliable and efficient mechatronic systems is the focus of a large number of engineers today. From this it follows that experimental techniques to study critical locations with respect to wear and energy dissipation, such as tribological contacts, are receiving much attention. A fundamental problem is that friction is not an intrinsic material property, but a system property, and this gap between real tribological systems and idealized laboratory test systems is a main research challenge in tribology today. An appealing approach to overcome this problem is the use of non-invasive experimental techniques. Ultrasound based techniques to study lubrication film thickness measurements is in this regard a tempting tool, however the calibration procedure for this technology can be challenging and the robustness of the calibration is limited in highly dynamic environments, such as fluid power pumping and motoring units. In this paper the fundamental linear regression of an autocalibration algorithm is presented, which generalize previous results, and show that the dot product of the incident and reflected wave spectrum vectors is proportional to the squared magnitude of the reflected wave spectrum. In consequence, the incident wave spectrum should in general be obtainable by use of linear adaptive filtering techniques.

AB - Reliable and efficient mechatronic systems is the focus of a large number of engineers today. From this it follows that experimental techniques to study critical locations with respect to wear and energy dissipation, such as tribological contacts, are receiving much attention. A fundamental problem is that friction is not an intrinsic material property, but a system property, and this gap between real tribological systems and idealized laboratory test systems is a main research challenge in tribology today. An appealing approach to overcome this problem is the use of non-invasive experimental techniques. Ultrasound based techniques to study lubrication film thickness measurements is in this regard a tempting tool, however the calibration procedure for this technology can be challenging and the robustness of the calibration is limited in highly dynamic environments, such as fluid power pumping and motoring units. In this paper the fundamental linear regression of an autocalibration algorithm is presented, which generalize previous results, and show that the dot product of the incident and reflected wave spectrum vectors is proportional to the squared magnitude of the reflected wave spectrum. In consequence, the incident wave spectrum should in general be obtainable by use of linear adaptive filtering techniques.

KW - Ultrasonics

KW - Lubrication

KW - Thickness

KW - Measurements

UR - http://www.scopus.com/inward/record.url?scp=85058631053&partnerID=8YFLogxK

U2 - 10.1145/3284516.3284534

DO - 10.1145/3284516.3284534

M3 - Article in proceeding

SN - 978-1-4503-6563-5

T3 - ACM International Conference Proceedings Series

SP - 154

EP - 158

BT - ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation

PB - Association for Computing Machinery

ER -

Kæseler RL, Johansen P. Spectrum Estimation in Autocalibration of Ultrasonic Reflectometry Methods for Lubrication Film Thickness Measurements. I ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation. Association for Computing Machinery. 2018. s. 154-158. (ACM International Conference Proceedings Series). https://doi.org/10.1145/3284516.3284534