Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Optical measurement can substantially reduce the required amount of labor and simplify the measurement process.
Furthermore, the optical measurement method can provide full-field measurement results of the target object without affecting the physical properties of the measurement target, such as stiffness, mass, or damping.
The advent of consumer grade depth cameras, such as the Microsoft Kinect, Intel RealSence, and ASUS Xtion, has attracted significant research attention owing to their availability and robustness in sampling depth information.
This paper presents an effective method employing the Kinect sensor V2 and an artificial neural network for vibration frequency measurement.
Experiments were conducted to verify the performance of the proposed method.
The proposed method can provide good frequency prediction within acceptable accuracy compared to an industrial vibrometer, with the advantages of contactless process and easy pipeline implementation.
American Psychological Association (APA)
Liu, Jiantao& Yang, Xiaoxiang. 2019. Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2. Shock and Vibration،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1211665
Modern Language Association (MLA)
Liu, Jiantao& Yang, Xiaoxiang. Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2. Shock and Vibration No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1211665
American Medical Association (AMA)
Liu, Jiantao& Yang, Xiaoxiang. Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1211665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211665