A Multifault Diagnosis Method of Gear Box Running on Edge Equipment
Joint Authors
Zhao, Xiao-ping
Zhang, Yong-hong
Shao, Fan
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, a large number of edge computing devices have been used to monitor the operating state of industrial equipment and perform fault diagnosis analysis.
Therefore, the fault diagnosis algorithm in the edge computing device is particularly important.
With the increase in the number of device detection points and the sampling frequency, mechanical health monitoring has entered the era of big data.
Edge computing can process and analyze data in real time or faster, making data processing closer to the source, rather than the external data center or cloud, which can shorten the delay time.
After using 8 bits and 16 bits to quantify the deep measurement learning model, there is no obvious loss of accuracy compared with the original floating-point model, which shows that the model can be deployed and reasoned on the edge device, while ensuring real time.
Compared with using servers for deployment, using edge devices not only reduces costs but also makes deployment more flexible.
American Psychological Association (APA)
Zhao, Xiao-ping& Zhang, Yong-hong& Shao, Fan. 2020. A Multifault Diagnosis Method of Gear Box Running on Edge Equipment. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208753
Modern Language Association (MLA)
Zhao, Xiao-ping…[et al.]. A Multifault Diagnosis Method of Gear Box Running on Edge Equipment. Security and Communication Networks No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1208753
American Medical Association (AMA)
Zhao, Xiao-ping& Zhang, Yong-hong& Shao, Fan. A Multifault Diagnosis Method of Gear Box Running on Edge Equipment. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208753