Fault Diagnosis of Belt Conveyor Based on Support Vector Machine and Grey Wolf Optimization
Joint Authors
Zhang, Yuzhi
Fang, Yu
Li, Yu
Li, Xiangong
Liu, Feng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Belt conveyor is widely used for material transportation over both short and long distances nowadays while the failure of a single component may cause fateful consequences.
Accordingly, the use of machine learning in timely fault diagnosis is an efficient way to ensure the safe operation of belt conveyors.
The support vector machine is a powerful supervised machine learning algorithm for classification in fault diagnosis.
Before the classification, the principal component analysis is used for data reduction according to the varieties of features.
To optimize the parameters of the support vector machine, this paper presents a grey wolf optimizer approach.
The diagnostic model is applied to an underground mine belt conveyor transportation system fault diagnosis on the basis of monitoring data collected by sensors of mine internet of things.
The results show that the recognition accuracy of the fault is up to 97.22% according to the mine site dataset.
It is proved that the combined classification model has a better performance in fault intelligent diagnosis.
American Psychological Association (APA)
Li, Xiangong& Li, Yu& Zhang, Yuzhi& Liu, Feng& Fang, Yu. 2020. Fault Diagnosis of Belt Conveyor Based on Support Vector Machine and Grey Wolf Optimization. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193164
Modern Language Association (MLA)
Li, Xiangong…[et al.]. Fault Diagnosis of Belt Conveyor Based on Support Vector Machine and Grey Wolf Optimization. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1193164
American Medical Association (AMA)
Li, Xiangong& Li, Yu& Zhang, Yuzhi& Liu, Feng& Fang, Yu. Fault Diagnosis of Belt Conveyor Based on Support Vector Machine and Grey Wolf Optimization. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193164
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193164