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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 32, Number 10(3) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3531-3542
S&M2356 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2936 Published: October 30, 2020 Assessment of Health of Friction Pair in Sliding Bearing Using Vibration Sensor and Continuous Wavelet Transform Time-frequency Images [PDF] Chaoming Huang, Yongtao Liao, Qingtao Li, Hongliang Yu, Jianbin Liao, and Chih-Cheng Chen (Received April 29, 2020; Accepted August 18, 2020) Keywords: frictional vibration, feature extraction, time-frequency image, image segmentation, sliding bearing
A new method was proposed to find the characteristic parameters of the vibration induced by the friction and wear of a sliding bearing. The parameters were obtained from the data of vibration signals using vibration sensors and processed with the continuous wavelet transform (CWT) and image technology. We collected the vibration signal of a ZCHSnSb8-8 bearing alloy and drew three-dimensional images with the time-frequency spectrum. Then, the important features were extracted by image segmentation technology. The parameters corresponding to the features were calculated with an algorithm to find the relationship between the parameters and the vibration characteristics. The results in this study revealed that the parameters of the vibration signal quantitatively represented the vibration characteristics of the sliding bearing caused by friction and wear. The new method is useful for assessing the health of a sliding bearing that has been deteriorated by the friction and wear of its friction pair.
Corresponding author: Hongliang Yu, Chih-Cheng Chen  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chaoming Huang, Yongtao Liao, Qingtao Li, Hongliang Yu, Jianbin Liao, and Chih-Cheng Chen, Assessment of Health of Friction Pair in Sliding Bearing Using Vibration Sensor and Continuous Wavelet Transform Time-frequency Images, Sens. Mater., Vol. 32, No. 10, 2020, p. 3531-3542. |
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