A Semiconductor Bridge Electrical Explosive Device Online Firing Quality Identification Algorithm
Joint Authors
Zhang, Bin-bin
Gao, Song
Chen, Chao-bo
Li, Ji-chao
Bi, Xue-qin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
When qualified explosive devices fire the explosive agent unsuccessfully, on-site testers cannot diagnose fast and accurately whether it is the firing quality problem of the electrical explosive devices or explosive agent by using traditional test methods.
And, if the explosive agent is fired unsuccessfully, generally, the only way is to test the explosive device by on-site testers themselves.
In order to protect the on-site testers’ safety, this paper proposes an electrical explosive device firing quality identification algorithm based on HHT (Hilbert–Huang transform) of the explosive time series.
Obtaining an explosive current time series during the firing process of electrical explosive devices by the explosive equipment, the IMFs (intrinsic mode functions) and a residual function of the explosive current time series are obtained by EMD (empirical mode decomposition), the feature vector, which is the energy characteristic values of the IMFs and residual function by Hilbert transformation, is the input of SVM (support vector machine), and the fired failure explosive device is identified as an excellent performance product or performance failure product by the trained SVM.
Finally, semiconductor explosive devices are tested to verify the proposed algorithm, and the results show that the EMD-SVM algorithm can identify effectively the firing quality of firing explosive devices.
American Psychological Association (APA)
Zhang, Bin-bin& Gao, Song& Chen, Chao-bo& Li, Ji-chao& Bi, Xue-qin. 2020. A Semiconductor Bridge Electrical Explosive Device Online Firing Quality Identification Algorithm. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1193365
Modern Language Association (MLA)
Zhang, Bin-bin…[et al.]. A Semiconductor Bridge Electrical Explosive Device Online Firing Quality Identification Algorithm. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1193365
American Medical Association (AMA)
Zhang, Bin-bin& Gao, Song& Chen, Chao-bo& Li, Ji-chao& Bi, Xue-qin. A Semiconductor Bridge Electrical Explosive Device Online Firing Quality Identification Algorithm. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1193365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193365