Research on Identification Technology of Explosive Vibration Based on EEMD Energy Entropy and Multiclassification SVM
Joint Authors
Ji, Chong
Zhao, Changxiao
Ma, Huayuan
Li, Xinghua
Liu, Qiang
Xingbo, Xie
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this study, the authors introduced energy entropy as a reference feature into the field of blast vibration recognition classification and achieved good results.
On the basis of the previous experimental database, 4 kinds of typical vibration signals were selected to form the sample group (building collapse vibration, surface rock blast vibration, underground tunnel blast vibration, and natural gas pipeline explosion vibration).
EEMD (ensemble empirical mode decomposition) algorithm was used to calculate the energy entropy of each signal.
Taking eigenvector composed of CEE (components of energy entropy) as input, multiclassification SVM algorithm was used for training and prediction.
Prediction accuracy was more than 80%.
Compared with BP (backpropagation) neural network algorithm, SVM (support vector machine) algorithm has higher training efficiency.
The research results can be used in urban vibration monitoring, identify the nature of vibration source in time, and provide technical support for rapid response of emergency rescue.
American Psychological Association (APA)
Ma, Huayuan& Li, Xinghua& Liu, Qiang& Xingbo, Xie& Ji, Chong& Zhao, Changxiao. 2020. Research on Identification Technology of Explosive Vibration Based on EEMD Energy Entropy and Multiclassification SVM. Shock and Vibration،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1210331
Modern Language Association (MLA)
Ma, Huayuan…[et al.]. Research on Identification Technology of Explosive Vibration Based on EEMD Energy Entropy and Multiclassification SVM. Shock and Vibration No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1210331
American Medical Association (AMA)
Ma, Huayuan& Li, Xinghua& Liu, Qiang& Xingbo, Xie& Ji, Chong& Zhao, Changxiao. Research on Identification Technology of Explosive Vibration Based on EEMD Energy Entropy and Multiclassification SVM. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1210331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210331